Instruction:
Text: HB24 is likely to have an important role in lymphocytes as well as in certain developing tissues .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["HB24"], "cell type": ["lymphocytes"]}


Instruction:
Text: Platelet-activating factor induces phospholipid turnover , calcium flux , arachidonic acid liberation , eicosanoid generation , and oncogene expression in a human B cell line .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["Platelet-activating factor"], "DNA": ["oncogene"], "cell line": ["human B cell line"]}


Instruction:
Text: Platelet-activating factor is a potent mediator of the inflammatory response .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Studies of the actions of platelet-activating factor have centered mainly around neutrophils , monocytes , and platelets .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["platelet-activating factor"], "cell type": ["neutrophils", "platelets", "monocytes"]}


Instruction:
Text: In this report we begin to uncover the influence of platelet-activating factor on B lymphocytes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["platelet-activating factor"], "cell type": ["B lymphocytes"]}


Instruction:
Text: Employing the EBV-transformed human B cell line SKW6.4 , we demonstrate that platelet-activating factor significantly alters membrane phospholipid metabolism indicated by the incorporation of 32P into phosphatidylcholine , phosphatidylinositol , and phosphatidic acid but not significantly into phosphatidylethanolamine at concentrations ranging from 10(-9) to 10(-6) M.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["EBV-transformed human B cell line", "SKW6.4", "human B cell line"], "protein": ["platelet-activating factor"]}


Instruction:
Text: The inactive precursor, lyso-platelet-activating factor , at a concentration as high as 10(-7) M had no effect on any of the membrane phospholipids .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: We also show that platelet-activating factor from 10(-12) to 10(-6) M induced rapid and significant elevation in intracellular calcium levels , whereas lyso- platelet-activating factor was again ineffective.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: We further demonstrate the impact of platelet-activating factor binding to B cells by measuring platelet-activating factor induced arachidonic acid release and 5-hydroxyeicosatetraenoic acid production.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["platelet-activating factor"], "cell type": ["B cells"]}


Instruction:
Text: Moreover, platelet-activating factor was capable of inducing transcription of the nuclear proto-oncogenes c-fos and c-jun .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["nuclear proto-oncogenes", "c-fos", "c-jun"], "protein": ["platelet-activating factor"]}


Instruction:
Text: Finally we explored the possible role of 5-hydroxyeicosatetraenoic acid as a regulator of arachidonic acid liberation demonstrating that endogenous 5-lipoxygenase activity modulates platelet-activating factor induced arachidonic acid release perhaps acting at the level of phospholipase A2 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["phospholipase A2", "5-lipoxygenase", "platelet-activating factor"]}


Instruction:
Text: In summary, platelet-activating factor is shown here to have a direct and profound effect on a pure B cell line .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["pure B cell line"], "protein": ["platelet-activating factor"]}


Instruction:
Text: Positive and negative regulation of immunoglobulin gene expression by a novel B-cell-specific enhancer element .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["immunoglobulin gene", "B-cell-specific enhancer element"]}


Instruction:
Text: A new B-cell-specific enhancer element has been identified 3' of E4 and the octamerlike motifs in the human immunoglobulin heavy-chain gene enhancer .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["human immunoglobulin heavy-chain"], "DNA": ["human immunoglobulin heavy-chain gene enhancer", "B-cell-specific enhancer element"]}


Instruction:
Text: Tandem copies of this 67-bp MnlI-AluI fragment , when fused to the chloramphenicol acetyltransferase gene driven by the conalbumin promoter , stimulated transcription in B cells but not in Jurkat T cells or HeLa cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["Jurkat T cells", "HeLa cells"], "DNA": ["conalbumin promoter", "67-bp MnlI-AluI fragment", "chloramphenicol acetyltransferase gene"], "cell type": ["B cells"]}


Instruction:
Text: Footprinting analysis revealed that the identical sequence CCGAAACTGAAAAGG , designated E6 , was protected by nuclear extracts from B cells , T cells , or HeLa cells.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["E6"], "cell type": ["T cells", "B cells"]}


Instruction:
Text: Gel mobility shift assays using a synthetic E6 motif detected a B-cell-specific complex in addition to a ubiquitous band found also in T cells and HeLa cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["synthetic E6 motif"], "protein": ["B-cell-specific complex"], "cell type": ["T cells"], "cell line": ["HeLa cells"]}


Instruction:
Text: In agreement with the results of gel retardation assays , tandem copies of the E6 motif stimulated transcription in ARH77 and Raji cells but not in Jurkat or HeLa cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["ARH77", "HeLa cells", "Raji cells", "Jurkat"], "DNA": ["E6 motif"]}


Instruction:
Text: Furthermore, a mutant E6 motif lost both in vitro binding activity and in vivo enhancer activity .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: In striking contrast to the mouse Ig heavy-chain enhancer , in which the octamer motif acts as a B-cell-specific enhancer element , the human enhancer contains an octamerlike sequence with one base substitution which bound octamer-binding proteins with only very low affinity and showed no enhancer activity of its own.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["octamer motif", "human enhancer", "mouse Ig heavy-chain enhancer", "octamerlike sequence", "B-cell-specific enhancer element"], "protein": ["octamer-binding proteins"]}


Instruction:
Text: Interestingly, the MnlI-AluI fragment could suppress the basal-level activity of the conalbumin promoter in both Jurkat and HeLa cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["conalbumin promoter", "MnlI-AluI fragment"], "cell line": ["Jurkat", "HeLa cells"]}


Instruction:
Text: Moreover, simian virus 40 enhancer activity was blocked by the MnlI-AluI fragment in HeLa cells but not in B cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["MnlI-AluI fragment"], "cell type": ["B cells"], "cell line": ["HeLa cells"]}


Instruction:
Text: Thus, the novel enhancer element identified in this study is probably a target site for both positive and negative factors .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["positive and negative factors", "positive", "negative factors"]}


Instruction:
Text: The involvement of ion channels in B and T lymphocyte activation is supported by many reports of changes in ion fluxes and membrane potential after mitogen binding .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["ion channels", "mitogen"]}


Instruction:
Text: We have used charybdotoxin , a known inhibitor of Ca(2+)-dependent K+ channels , to study the role of these channels in lymphocyte activation and mitogenesis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["Ca(2+)-dependent K+ channels"]}


Instruction:
Text: However, blockade of the Ca(2+)-activated K+ channel is not associated with changes in cell-cycle gene activation , IL-2 production , IL-2R expression or B and T cell mitogenesis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["IL-2", "IL-2R", "Ca(2+)-activated K+ channel"]}


Instruction:
Text: These results imply that membrane potential changes secondary to the ligand-dependent opening of Ca(2+)-activated K+ channels are not involved in B and T lymphocyte activation and mitogenesis .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["Ca(2+)-activated K+ channels"]}


Instruction:
Text: Activity of the kappa B enhancer of the interleukin-2 receptor alpha chain in somatic cell hybrids is accompanied by the nuclear localization of NF-kappa B .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["kappa B enhancer"], "protein": ["interleukin-2 receptor alpha chain", "NF-kappa B"], "cell line": ["somatic cell hybrids"]}


Instruction:
Text: The two nuclear proteins NF-kappa B (consisting of subunits p50 an dp65 ) and the DNA-binding subunit of NF-kappa B ( p50 ) by itself, also called KBF1 , are constitutively expressed and localized in the nucleus of the human T-cell line IARC 301.5 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["human T-cell line", "IARC 301.5"], "protein": ["p50", "DNA-binding subunit", "KBF1", "NF-kappa B", "dp65", "two nuclear proteins"]}


Instruction:
Text: In order to define the roles of these two factors , which bind to the same kappa B enhancers , in transcription activation we have prepared somatic cell hybrids between IARC 301.5 and a murine myeloma .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["factors"], "DNA": ["kappa B enhancers"], "cell line": ["murine myeloma", "IARC 301.5"]}


Instruction:
Text: Most hybrids express both KBF1 and NF-kappa B in their nuclei , but one hybrid expresses only KBF1 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: The kappa B enhancer of the gene encoding the interleukin-2 ( IL-2 ) receptor alpha chain ( IL-2R alpha ) is functional only in the hybrids expressing nuclear NF-kappa B .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["interleukin-2", "nuclear NF-kappa B", "IL-2R alpha", "NF-kappa B", "IL-2", "interleukin-2 ( IL-2 ) receptor alpha chain"], "cell line": ["hybrids"], "DNA": ["kappa B enhancer"]}


Instruction:
Text: These findings show that nuclear NF-kappa B is necessary to activate the kappa B enhancer , while KBF1 by itself is not sufficient.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["NF-kappa B", "nuclear NF-kappa B", "KBF1"], "DNA": ["kappa B enhancer"]}


Instruction:
Text: We propose that KBF1 is a competitive inhibitor of NF-kappa B and discuss how these factors may be involved in the transient expression of IL-2 and IL-2 alpha genes during the immune response .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["NF-kappa B", "IL-2", "IL-2 alpha", "KBF1"]}


Instruction:
Text: T-helper-cell determinants in protein antigens are preferentially located in cysteine-rich antigen segments resistant to proteolytic cleavage by cathepsin B , L , and D .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["cysteine-rich antigen segments", "T-helper-cell determinants", "protein antigens"]}


Instruction:
Text: We report on a computer algorithm capable of predicting the location of T-helper-cell epitopes in protein antigen ( Ag ) by analysing the Ag amino acid sequence .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["T-helper-cell epitopes", "Ag", "protein antigen", "amino acid sequence"]}


Instruction:
Text: The algorithm was constructed with the aim of identifying segments in Ag which are resistant to proteolytic degradation by the enzymes cathepsin B , L , and D .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: These are prominent enzymes in the endocytic pathway through which soluble protein Ag enter APC , and resistant segments in Ag may, therefore, be expected to contain more T-cell determinants than susceptible segments .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["soluble protein Ag", "susceptible segments", "enzymes", "APC", "resistant segments", "Ag", "T-cell determinants"]}


Instruction:
Text: From information available in the literature on the substrate specificity of the three enzymes , it is clear that a cysteine is not accepted in any of the S2 , S1 , S1' , and S2' subsites of cathepsin B and L , and not in the S1 and S1' subsites of cathepsin D .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["cathepsin D", "enzymes", "S1'", "S1"]}


Instruction:
Text: Moreover, we have noticed that cysteine -containing T-cell determinants in a number of protein Ag are particularly rich in the amino acids alanine , glycine , lysine , leucine , serine , threonine , and valine .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["Ag", "cysteine -containing T-cell determinants", "protein Ag"]}


Instruction:
Text: By searching protein Ag for clusters of amino acids containing cysteine and two of the other amino acids we were able to predict 17 out of 23 empirically known T-cell determinants in the Ag with a relatively low number of false (positive) predictions.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["Ag", "T-cell determinants"]}


Instruction:
Text: Furthermore, we present a new principle for searching Ag for potential amphipatic alpha-helical protein segments .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["amphipatic alpha-helical protein segments", "Ag"]}


Instruction:
Text: Such segments accord well with empirically known T-cell determinants and our algorithm produces a lower number of false positive predictions than the principle based on discrete Fourier transformations previously described.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Contribution of NF-kappa B and Sp1 binding motifs to the replicative capacity of human immunodeficiency virus type 1 : distinct patterns of viral growth are determined by T-cell types .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell type": ["T-cell types"], "protein": ["NF-kappa B"], "DNA": ["Sp1 binding motifs"]}


Instruction:
Text: Starting with a replication-incompetent molecular clone of human immunodeficiency virus type 1 , lacking all the NF-kappa B and Sp1 binding sites present in the native long terminal repeat ( LTR ), proviruses containing reconstructed LTRs with individual or combinations of NF-kappa B and Sp1 elements were generated and evaluated for their capacity to produce virus progeny following transfection-cocultivation .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["native long terminal repeat", "reconstructed LTRs", "LTR"]}


Instruction:
Text: Virus stocks obtained from these experiments exhibited a continuum of replicative capacities in different human T-cell types depending on which element (s) was present in the LTR .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["element", "LTR"], "cell type": ["human T-cell types", "T-cell types"]}


Instruction:
Text: For example, in experiments involving proviral clones with LTRs containing one or two NF-kappa B elements (and no Sp1 binding sites ), a hierarchy of cellular permissivity to virus replication ( peripheral blood lymphocytes = MT4 greater than H9 greater than CEM greater than Jurkat ) was observed.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["Jurkat", "MT4", "H9", "CEM"], "DNA": ["NF-kappa B elements", "LTRs", "Sp1 binding sites"], "cell type": ["lymphocytes", "peripheral blood lymphocytes"], "protein": ["NF-kappa B"]}


Instruction:
Text: Of note was the associated emergence of second-site LTR revertants which involved an alteration of the TATA box .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["second-site LTR", "TATA box"]}


Instruction:
Text: These results suggest that the human immunodeficiency virus type 1 LTR possesses functional redundancy which ensures virus replication in different T-cell types and is capable of changing depending on the particular combination of transcriptional factors present.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell type": ["T-cell types"], "protein": ["transcriptional factors"], "DNA": ["human immunodeficiency virus type 1 LTR"]}


Instruction:
Text: Stimulation of interferon beta gene transcription in vitro by purified NF-kappa B and a novel TH protein .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["TH protein", "NF-kappa B"], "DNA": ["interferon beta gene"]}


Instruction:
Text: The human interferon beta ( IFN-beta ) regulatory element consists of multiple enhanson domains which are targets for transcription factors involved in inducible expression of the promoter .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["human interferon beta", "transcription factors", "IFN-beta"], "DNA": ["enhanson domains", "human interferon beta ( IFN-beta ) regulatory element", "promoter"]}


Instruction:
Text: To further characterize the protein-DNA interactions mediating IFN-beta induction , positive regulatory domain (PRD) II binding proteins were purified from phorbol ester induced Jurkat T-cells and from IFN primed, cycloheximide/polyinosinic-polycytidylic acid treated HeLa S3 cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["positive regulatory domain (PRD) II binding proteins", "IFN-beta", "IFN"], "DNA": ["positive regulatory domain (PRD) II"], "cell line": ["Jurkat T-cells", "IFN primed, cycloheximide/polyinosinic-polycytidylic acid treated HeLa S3 cells"]}


Instruction:
Text: From HeLa cells , two major proteins of 52 and 45 kilodaltons (kD) copurified with DNA binding activity , whereas from T-cells , four proteins--a major protein of 52 kD and three minor proteins of 82 , 67 , and 43-47 kD --were purified.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["43-47 kD", "82", "52 kD", "minor proteins", "67", "major protein"], "cell type": ["T-cells"], "cell line": ["HeLa cells"]}


Instruction:
Text: Also, an induction specific DNA binding protein was purified from HeLa cells that interacted with the ( AAGTGA )4 tetrahexamer sequence and the PRDI domain .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["HeLa cells"], "protein": ["specific DNA binding protein"], "DNA": ["PRDI domain", "tetrahexamer sequence"]}


Instruction:
Text: This protein is immunologically distinct from IRF-1/ISGF2 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Uninduced or Sendai virus induced HeLa extracts were used to examine transcription in vitro using a series of IFN beta promoter deletions .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["IFN beta promoter deletions"]}


Instruction:
Text: Deletions upstream of the PRDII element increased transcription in the uninduced extract, indicating predominantly negative regulation of the promoter .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: A 2-4-fold increase in IFN-beta promoter transcription was observed in Sendai virus induced extracts , and deletion of PRDI and PRDII elements decreased this induced level of transcription .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["PRDII", "PRDI", "PRDII elements", "IFN-beta promoter"]}


Instruction:
Text: These experiments demonstrate that it is possible to modulate IFN-beta transcription in vitro but indicate that additional proteins may be required to fully activate IFN-beta transcription .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: The rhombotin family of cysteine -rich LIM-domain oncogenes : distinct members are involved in T-cell translocations to human chromosomes 11p15 and 11p13 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["T-cell translocations", "rhombotin family", "cysteine -rich LIM-domain oncogenes"]}


Instruction:
Text: A chromosomal translocation in a T-cell leukemia involving the short arm of human chromosome 11 at band 11p15 disrupts the rhombotin gene .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["human chromosome 11", "band 11p15", "short arm", "rhombotin gene"]}


Instruction:
Text: This gene encodes a protein with duplicated cysteine -rich regions called LIM domains , which show homology to zinc-binding proteins and to iron-sulfur centers of ferredoxins .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["cysteine -rich regions", "ferredoxins", "LIM domains", "zinc-binding proteins", "iron-sulfur centers"]}


Instruction:
Text: Two homologues of the rhombotin gene have now been isolated.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: One of these, designated Rhom-2 , is located on human chromosome 11 at band 11p13 , where a cluster of T-cell leukemia-specific translocations occur; all translocation breakpoints at 11p13 are upstream of the Rhom-2 gene .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["Rhom-2", "11p13", "Rhom-2 gene", "human chromosome 11", "band 11p13", "T-cell leukemia-specific translocations"]}


Instruction:
Text: Human and mouse Rhom-2 are highly conserved and, like rhombotin , encode two tandem cysteine -rich LIM domains .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["tandem cysteine -rich LIM domains", "rhombotin"], "protein": ["LIM domains"]}


Instruction:
Text: Rhom-2 mRNA is expressed in early mouse development in central nervous system , lung , kidney , liver , and spleen but only very low levels occur in thymus .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: The other gene, designated Rhom-3 , is not on chromosome 11 but also retains homology to the LIM domain of rhombotin .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["Rhom-3", "LIM domain", "rhombotin"]}


Instruction:
Text: Since the Rhom-2 gene is such a common site of chromosomal damage in T-cell tumors , the consistency of translocations near the rhombotin gene was further examined.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["Rhom-2", "Rhom-2 gene", "rhombotin gene", "rhombotin"], "cell type": ["T-cell tumors"]}


Instruction:
Text: A second translocation adjacent to rhombotin was found and at the same position as in the previous example.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Therefore, chromosome bands 11p15 ( rhombotin ) and 11p13 ( Rhom-2 ) are consistent sites of chromosome translocation in T-cell leukemia , with the 11p15 target more rarely involved.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["Rhom-2", "chromosome bands 11p15", "11p13", "11p15 target", "rhombotin"]}


Instruction:
Text: The results define the rhombotin gene family as a class of T-cell oncogenes with duplicated cysteine -rich LIM domains .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["cysteine -rich LIM domains", "rhombotin", "T-cell oncogenes"], "protein": ["LIM domains"]}


Instruction:
Text: NF-kappa B activation by tumor necrosis factor alpha in the Jurkat T cell line is independent of protein kinase A , protein kinase C , and Ca(2+) -regulated kinases .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["protein kinase C", "NF-kappa B", "protein kinase A", "Ca(2+) -regulated kinases", "tumor necrosis factor alpha"], "cell line": ["Jurkat T cell line"]}


Instruction:
Text: NF-kappa B is a DNA-binding regulatory factor able to control transcription of a number of genes, including human immunodeficiency virus ( HIV ) genes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["DNA-binding regulatory factor", "NF-kappa B"], "DNA": ["human immunodeficiency virus ( HIV ) genes"]}


Instruction:
Text: In T cells , NF-kappa B is activated upon cellular treatment by phorbol esters and the cytokine tumor necrosis factor alpha ( TNF alpha ).
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell type": ["T cells"], "protein": ["tumor necrosis factor alpha", "TNF alpha", "NF-kappa B"]}


Instruction:
Text: In the present work, we investigated the molecular events leading to NF-kappa B activation by TNF alpha in a human T cell line ( Jurkat ) and its subclone JCT6 , which presents a deficiency in the PKA transduction pathway .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell line": ["human T cell line", "JCT6", "Jurkat"], "protein": ["PKA", "TNF alpha", "NF-kappa B"]}


Instruction:
Text: We found that in both cell lines, both phorbol ester and TNF alpha were able to activate NF-kappa B .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["TNF alpha", "NF-kappa B"]}


Instruction:
Text: Phorbol activation was positively modulated by Ca2+ influx while TNF alpha activation was not.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Furthermore, while PMA activation was inhibited by the PKC inhibitor staurosporin , the TNF alpha effect was unchanged.
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: TNF alpha did not activate cAMP production and its signal was not modulated by cAMP activators .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: Moreover, cAMP activators did not activate NF-kappa B in Jurkat cells .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["NF-kappa B"], "cell line": ["Jurkat cells"]}


Instruction:
Text: Thus, TNF alpha -induced NF-kappa B activation was found to be mediated by none of the major signal-mediating kinases such as protein kinase C ( PKC ), protein kinase A , or Ca(2+)-regulated kinases .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["protein kinase C", "Ca(2+)-regulated kinases", "TNF alpha", "NF-kappa B", "PKC", "protein kinase A", "signal-mediating kinases"]}


Instruction:
Text: Furthermore, we found that cytoplasmic acidification facilitated NF-kappa B activation by both TNF alpha and PKC , by a mechanism that increases NF-kappa B /I kappa B dissociation without affecting the NF-kappa B translocation step .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["PKC", "TNF alpha", "NF-kappa B", "/I kappa B"]}


Instruction:
Text: The functional domains of the murine Thy-1 gene promoter .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: The Thy-1 gene promoter resembles a "housekeeping" promoter in that it is located within a methylation-free island , lacks a canonical TATA box , and displays heterogeneity in the 5'-end termini of the mRNA .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["\"housekeeping\" promoter", "canonical TATA box", "methylation-free island", "Thy-1 gene promoter"], "RNA": ["mRNA", "5'-end termini"]}


Instruction:
Text: Using transgenic mice , we show that this promoter does not confer any tissue specificity and is active only in a position-dependent manner .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: It can only be activated in a tissue-specific manner by elements that lie downstream of the initiation site .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:


Instruction:
Text: We have analyzed the functional domains of the minimal Thy-1 promoter and show that the dominant promoter elements consist of multiple binding sites for the transcription factor Sp1 , an inverted CCAAT box , and sequences proximal to the transcription start site .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"protein": ["transcription factor", "Sp1"], "DNA": ["CCAAT box", "dominant promoter elements", "multiple binding sites", "minimal Thy-1 promoter", "transcription start site"]}


Instruction:
Text: DNase I and gel mobility shift assays show the binding of a number of nuclear factors to these elements , including Sp1 and CP1 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["elements"], "protein": ["CP1", "nuclear factors", "Sp1"]}


Instruction:
Text: Our results show that the structure of this promoter only permits productive interactions of the two transcription factors Sp1 and CP1 with the basal transcription machinery in the presence of enhancer sequences .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"DNA": ["promoter", "enhancer sequences"], "protein": ["CP1", "transcription factors", "Sp1"]}


Instruction:
Text: Nuclear factor kappa B activates proenkephalin transcription in T lymphocytes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {cell line/protein/RNA/DNA/cell type：[entities]}.
Answer:

{"cell type": ["T lymphocytes"], "protein": ["Nuclear factor kappa B"]}


Instruction:
Text: -DOCSTART- @Robert1288 Main St near Med Center is clear . We went to Memorial Hermann , but sure others have need as well
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["Main St near Med Center"]}


Instruction:
Text: -DOCSTART- Important Message from Spring ISD and @SPRINGHIGHLIONS for the Spring ISD Community . https://t.co/5HvVXPn4pp
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- RT @kiii3news : Harvey will keep Tropical Storm status and turn toward the TX / LA border , making a 2nd TX landfall early WED morning https://t.co/jE5CxUxN7w
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- RT @KHOU : JUST IN : Fort Bend ISD to open Marshall High School as emergency shelter https://t.co/IUILW1UKsn
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"area": ["Fort Bend ISD"], "exact location": ["Marshall High School"]}


Instruction:
Text: -DOCSTART- Fort Bend County evacuation route : US 59 South to US-71 , on to IH-10 West . Officials say please do not travel to Houston # Houstonfloods
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"area": ["Fort Bend County"], "road": ["US-71", "US 59 South", "IH-10 West"]}


Instruction:
Text: -DOCSTART- RT @MCTXSheriff : Here are Jail buses rolling out to transport evacuees from the FM 2090 area . # HarveyMoco2017 # Community # InItTogether https://t.co/oEpZtCVqDo
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- 346 - 251 - 4247 , 15 Boats looking for people to rescue in NE Houston Varde Forrest -between Mesa & amp ; CE King # HarveyFlood https://t.co/rXYSrGfixq
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"area": ["NE Houston Varde Forrest -between Mesa & amp ; CE King"]}


Instruction:
Text: -DOCSTART- Look at 45 in both directions at Cypresswood . # khou11 https://t.co/qSOU1QTpRL
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["45 in both directions at Cypresswood"]}


Instruction:
Text: -DOCSTART- Check Patient - A015 - Lockwood Exit - 16:25 - https://t.co/p3N2DGfvEu
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- RT @RepWalle : Understand that Harris Co. ESD , Natl Guard , & amp ; Westfield FD still have 700 rescue requests . Trying to get to them ASAP . # txlege # Harvey https://t.co/IXuLqU3zTw
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"area": ["Westfield FD", "Harris Co. ESD"]}


Instruction:
Text: -DOCSTART- RT @ChronJacob : Johnny Penney , a local resident who was in Columbia Lakes at about 3:30ish , just said it looked like Brazos River was about to overflow .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["Columbia Lakes"], "river": ["Brazos River"]}


Instruction:
Text: -DOCSTART- At Tidwell and Beltway . https://t.co/jlsUy0ZJEk
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["Tidwell and Beltway"]}


Instruction:
Text: -DOCSTART- The # NFL and the # Texans announce that Thursday 's preseason game vs. Cowboys has been moved to AT&T Stadium https://t.co/hHiU6fYlbl
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- IH-69 SOUTHWEST Northbound At BELLAIRE BLVD - High Water - Status : Cleared at 10:58 AM
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["IH-69 SOUTHWEST Northbound At BELLAIRE BLVD"]}


Instruction:
Text: -DOCSTART- IH-69 SOUTHWEST Northbound At CHIMNEY ROCK RD - High Water - Status : Cleared at 11:01 AM
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["IH-69 SOUTHWEST Northbound At CHIMNEY ROCK RD"]}


Instruction:
Text: -DOCSTART- name and contact info on your item , and drop it off at Moody dining hall . I will be there to help assist .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["Moody dining hall"]}


Instruction:
Text: -DOCSTART- Before / After Pics of @starbucks on Yale # HurricaneHarvey # HoustonFlood # WhiteOakBayou https://t.co/ngwINZgbGG
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- RT @Jasper2017Maya : @HurricaneHNeed HELP NEEDED @ The Buckingham nursing home at 8580 Woodway . Flooded & amp ; running out of supplies . # harveysos # HarveyRescue
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["The Buckingham nursing home at 8580 Woodway"]}


Instruction:
Text: -DOCSTART- IH-45 GULF Southbound At EL DORADO BLVD - High Water - Status : Cleared at 11:19 AM
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["IH-45 GULF Southbound At EL DORADO BLVD"]}


Instruction:
Text: -DOCSTART- Band of heaviest rainfall coming your way , Louisiana . # Harvey https://t.co/nn3enn0gXO
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- @mizzousundevil Dunlavy clear from at least Fairview to Rice U , roads near Montrose HEB clear
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"road": ["Dunlavy", "Fairview"], "exact location": ["Rice U"]}


Instruction:
Text: -DOCSTART- RT @justNOT_Average : Help is needed in spring ! 3030 Hirschfield apt # 22a @PoojaOnTV @Fox26Houston @KHOU @abc13houston https://t.co/BdwlvLu3lM
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["3030 Hirschfield apt # 22a"]}


Instruction:
Text: -DOCSTART- RT @MelanieLawson13 : Love neighbors helping neighbors , including family from Louisiana . Are u & amp ; ur loved ones OK ? Do u know of someone in need ? @abc13houston
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- Water approaching the second floors of apartments near Grant Rd and Cypress Creek # houwx # hounews
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"road": ["Grant Rd"], "river": ["Cypress Creek"]}


Instruction:
Text: -DOCSTART- Flash Flood Warning for Chambers , Galveston , and Liberty County until 1:30pm Monday . https://t.co/gEpDjK8JJN
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"area": ["Galveston", "Chambers", "Liberty"]}


Instruction:
Text: -DOCSTART- PLEASE GET HELP FOR @TaylorInAmerica 7526 Brighton knolls lane PLEASE PLEASE ! ! # CajunNavy @abc13houston # harveyrescue # harveysos https://t.co/G4qhxaGyR6
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- " J.J. 's one of the most selfless guys you 'll ever meet . I 've talked to people in Pittsburgh , they 're going help , " - @TomSavage03
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:


Instruction:
Text: -DOCSTART- RT @YoUrsTrUlyTrize : @KPRC2Sara @JenniferReyna Do you know if any coastal guards or search and rescuers is over by Lakewood ? Or Tidwell ? Some ones stranded ; 9319 Woodlyn road with 3 ppl
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"road": ["Lakewood", "Tidwell"], "exact location": ["9319 Woodlyn road"]}


Instruction:
Text: -DOCSTART- RT @JeffLindner1 : Water approaching the second floors of apartments near Grant Rd and Cypress Creek # houwx # hounews
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"road": ["Grant Rd"], "river": ["Cypress Creek"]}


Instruction:
Text: -DOCSTART- @SL_Skeeters Are you opening Constellation Field as a shelter ?
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {exact location/area/road/river：[entities]}.
Answer:

{"exact location": ["Constellation Field"]}


Instruction:
Text: are there any good romantic comedies out right now
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["romantic comedies"], "year": ["right now"]}


Instruction:
Text: show me a movie about cars that talk
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: list the five star rated movies starring mel gibson
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"average ratings": ["five star"], "actor": ["mel gibson"]}


Instruction:
Text: what science fiction films have come out recently
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["science fiction"], "year": ["recently"]}


Instruction:
Text: did the same director make all of the harry potter movies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: show me 1980s action movies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what is the name of the third movie in the star trek series
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: can you get a soundtrac for the harry potter films
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"song": ["soundtrac"], "title": ["harry potter films"]}


Instruction:
Text: find me science fiction movies since 2005
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["science fiction"], "year": ["since 2005"]}


Instruction:
Text: what is the most current movie featuring mat damon
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"year": ["current"], "actor": ["mat damon"]}


Instruction:
Text: show me films where jim carrey is a detective
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["jim carrey"], "character": ["detective"]}


Instruction:
Text: did george clooney make a musical in the 1980s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["george clooney"], "genre": ["musical"], "year": ["1980s"]}


Instruction:
Text: show me films with both matt damon ad ben affleck
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["ben affleck", "matt damon"]}


Instruction:
Text: what is the borrowers movie
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: have u movie hm about to pg 18
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find rated g films with flying cars
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"rating": ["g"], "plot": ["flying cars"]}


Instruction:
Text: what was the best rated stanley kubrick film
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"review": ["best"], "director": ["stanley kubrick"]}


Instruction:
Text: are there any films directed by shawn levy about large families
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"director": ["shawn levy"], "plot": ["large families"]}


Instruction:
Text: list pg rated movies about cars released in the 1990s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what movie won best picure at the 2012 oscars
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"average ratings": ["2012", "best picure"]}


Instruction:
Text: find me childrens movies with daniel radcliffe from the 2000s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["childrens movies"], "actor": ["daniel radcliffe"], "year": ["2000s"]}


Instruction:
Text: what was the plot behind 3 days of the condor
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what are considered the must see sci fi movies of the 1970s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["sci fi movies"], "year": ["1970s"]}


Instruction:
Text: who directed the film pulp fiction that starred john travolta
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"director": ["directed"], "title": ["pulp fiction"], "actor": ["john travolta"]}


Instruction:
Text: which film has the highest viewer rating this year
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what was the first movie in color
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: may i have the highly acclaimed film from 1985 directed by sylvester stallone
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"review": ["highly acclaimed"], "average ratings": ["1985"], "director": ["sylvester stallone"]}


Instruction:
Text: list the action films starring hugh jackman
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["action films"], "actor": ["hugh jackman"]}


Instruction:
Text: what is a bronx tale rated
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"title": ["bronx tale"], "rating": ["rated"]}


Instruction:
Text: is there a pg 13 movie thats scary
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what movies made in 2004 were pg
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find movies with robert diniero in it
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: have pg 13 movies for the kidz
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: list the science fiction movies directed by shawn levy
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["science fiction"], "director": ["shawn levy"]}


Instruction:
Text: what was the last film elizabeth montgomery starred in
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"year": ["last"], "actor": ["elizabeth montgomery"]}


Instruction:
Text: did george clooney direct any comedy films
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"director": ["george clooney"], "genre": ["comedy"]}


Instruction:
Text: what is brad pitts first movie
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find me the movie that has a aerosmith song
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: are there any drama movies with seth green
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["drama"], "actor": ["seth green"]}


Instruction:
Text: what is the movie with an aerosmith song
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what is the highest rated kids new release
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"average ratings": ["highest rated"], "genre": ["kids"], "year": ["new release"]}


Instruction:
Text: worst review for 2011 movies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"average ratings": ["worst review"], "year": ["2011"]}


Instruction:
Text: show me the milos forman movies from the 1980s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["milos forman"], "year": ["1980s"]}


Instruction:
Text: lets find an independent film company
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: which movies were based off of video games besides resident evil
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"plot": ["based off of video games"], "title": ["resident evil"]}


Instruction:
Text: did dame judy dench star in a british film about queen elizabeth
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["dame judy dench"], "plot": ["british"], "character": ["queen elizabeth"]}


Instruction:
Text: present list of family movies that chris columbus directed
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["family movies"], "director": ["chris columbus"]}


Instruction:
Text: find a movie with dogs as the main character
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: show me movies about horse racing
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: show me morgan freeman movies from the 90s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["morgan freeman"], "year": ["90s"]}


Instruction:
Text: find me the movies that starred anne hathaway and julie andrews
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["julie andrews", "anne hathaway"]}


Instruction:
Text: has sandra bullock made any g rated movies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["sandra bullock"], "rating": ["g rated"]}


Instruction:
Text: list the dirty harry films from the 1980s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: show me movies about strippers
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: are there any meg ryan romantic comedy movies that are considered must see
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["meg ryan"], "genre": ["romantic comedy"], "review": ["must see"]}


Instruction:
Text: what was james camerons directorial debut
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what are top 50 movies of all time
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"average ratings": ["all time", "top 50"]}


Instruction:
Text: find me comedy movies with liam hemsworth
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["comedy"], "actor": ["liam hemsworth"]}


Instruction:
Text: i want to see cradle 2 the grave
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what was the most popular movie from 2004
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"review": ["most popular movie"], "year": ["2004"]}


Instruction:
Text: what is the g rated movie about rabbits looking for a new home
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"rating": ["g rated"], "plot": ["rabbits looking for a new home"]}


Instruction:
Text: what latest 3d movie of any genre is reccommend
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"plot": ["3d"], "average ratings": ["reccommend"]}


Instruction:
Text: how many movies have tim burton and johnny depp done together
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["johnny depp", "tim burton"]}


Instruction:
Text: how many times has matt damon been jason bourne
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["matt damon"], "character": ["jason bourne"]}


Instruction:
Text: whats the latetest foreign romantic movie with lots of sex and sadness
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"year": ["latetest"], "genre": ["foreign romantic"], "plot": ["sadness", "sex"]}


Instruction:
Text: list movies with jeremy piven released in the 1990s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["jeremy piven"], "year": ["1990s"]}


Instruction:
Text: show me the collection of action movies of arnold
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["action movies"], "actor": ["arnold"]}


Instruction:
Text: are there comic book movies that are over pg 13
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["comic book movies"], "rating": ["pg 13"]}


Instruction:
Text: the new batman movie looks epic
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: show me movies who won awards
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what is the year that dirty dancing was released
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"year": ["year"], "title": ["dirty dancing"]}


Instruction:
Text: favorite quote from action movies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find me the g rated movies with dogs that were released in the 2000s
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: are there any silent movies made after 1930
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: who was the actress in the goodbye girl with richard dreyfuss
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"title": ["the goodbye girl"], "actor": ["richard dreyfuss"]}


Instruction:
Text: which movies are made with video game plots
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what video game movies are due to release in 2013
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"plot": ["video game movies"], "year": ["2013"]}


Instruction:
Text: id like the not to be missed nicole kidman musical
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["nicole kidman"], "genre": ["musical"]}


Instruction:
Text: what movie has the most remakes
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what shakespeare films take place in italy
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what was channing tatums first movie
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["channing tatums"], "year": ["first"]}


Instruction:
Text: i would like a list of movies about dancing from the past 10 years
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"plot": ["dancing"], "year": ["past 10 years"]}


Instruction:
Text: who stars in project x
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find action movies featuring comic book characters
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["action"], "plot": ["comic book characters"]}


Instruction:
Text: what are some g rated movies with fairies
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: name a movie starring britney spears
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what movie did rod serling write
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: is there an animated adult fantasy movie
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: the song sunshine on my shoulders was the soundtrack for what movie
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: are there any movies about popular game shows
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find me the name of the actor that played v in v for vendetta
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"character": ["v"], "title": ["v for vendetta"]}


Instruction:
Text: what was the last terminator sequel
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what science fiction movies were directed by george lucas
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"genre": ["science fiction"], "director": ["george lucas"]}


Instruction:
Text: who directed princess bride
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: who directed james and the giant peach
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"director": ["directed"], "title": ["james and the giant peach"]}


Instruction:
Text: name a western comedy
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: what type of movie is nine
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: how many movies have starred brad pitt
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: i am looking for a movie about talking animals
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:


Instruction:
Text: find a john malcovich thriller
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {genre/year/plot/average ratings/actor/title/song/character/rating/review/director/trailer：[entities]}.
Answer:

{"actor": ["john malcovich"], "genre": ["thriller"]}


Instruction:
Text: a four star restaurant with a bar
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["four star"], "Location": ["with a"], "Amenity": ["bar"]}


Instruction:
Text: any asian cuisine around
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["asian"], "Location": ["around"]}


Instruction:
Text: any bbq places open before 5 nearby
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["bbq"], "Hours": ["open before 5"], "Location": ["nearby"]}


Instruction:
Text: any dancing establishments with reasonable pricing
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Location": ["dancing establishments"], "Price": ["reasonable"]}


Instruction:
Text: any good cheap german restaurants nearby
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Price": ["cheap"], "Cuisine": ["german"], "Location": ["nearby"]}


Instruction:
Text: any good ice cream parlors around
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["good"], "Cuisine": ["ice cream parlors"], "Location": ["around"]}


Instruction:
Text: any good place to get a pie at an affordable price
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["good"], "Dish": ["pie"], "Price": ["affordable"]}


Instruction:
Text: any good vegan spots nearby
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["vegan"], "Location": ["nearby"]}


Instruction:
Text: any mexican places have a tameles special today
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["mexican"], "Dish": ["tameles"], "Amenity": ["special today"]}


Instruction:
Text: any place along the road has a good beer selection that also serves ribs
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Location": ["along the road"], "Rating": ["good"], "Dish": ["beer", "ribs"]}


Instruction:
Text: any places around here that has a nice view
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Location": ["around here"], "Amenity": ["nice view"]}


Instruction:
Text: any reasonably priced indian restaurants in the theater district
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Price": ["reasonably"], "Cuisine": ["indian"], "Location": ["in the theater district"]}


Instruction:
Text: any restaurants open right now
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: any restaurants that still allow smoking
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: any stores around where i could buy a pasta dish where the prices are not too high
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Location": ["around"], "Dish": ["pasta"], "Price": ["prices are not too high"]}


Instruction:
Text: anything on the avenue
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: anything open after midnight with reasonable prices
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Hours": ["open after midnight"], "Price": ["reasonable"]}


Instruction:
Text: are children allowed in this particular sitting area
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["children", "sitting area"]}


Instruction:
Text: are reservations available for four people for 8 pm tonight at 112 eatery
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: are the portion at le bec fin large or very small
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: are there any 24 hour breakfast places nearby
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Hours": ["24 hour"], "Cuisine": ["breakfast"], "Location": ["nearby"]}


Instruction:
Text: are there any 50s style diners in glendale
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["50s style"], "Cuisine": ["diners"], "Location": ["glendale"]}


Instruction:
Text: are there any authentic mexican restaurants in the area
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["authentic mexican"], "Location": ["in the area"]}


Instruction:
Text: are there any bars nearby that serve food like italian or french
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["french", "italian", "bars"], "Location": ["nearby"]}


Instruction:
Text: are there any brewpubs downtown
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["brewpubs"], "Location": ["downtown"]}


Instruction:
Text: are there any cafeterias near
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["cafeterias"], "Location": ["near"]}


Instruction:
Text: are there any charlestown restaurants open very early for lunch
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Location": ["charlestown"], "Hours": ["lunch", "open very early"]}


Instruction:
Text: are there any chick fil as in the city open on sunday
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Restaurant Name": ["chick fil as"], "Location": ["in the city"], "Hours": ["sunday"]}


Instruction:
Text: are there any chicken wing places nearby
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Dish": ["chicken wing"], "Location": ["nearby"]}


Instruction:
Text: are there any child friendly restaurants within ten miles
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["child friendly"], "Location": ["within ten miles"]}


Instruction:
Text: are there any chinese restaurants near cheyenne
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["chinese"], "Location": ["near cheyenne"]}


Instruction:
Text: are there any crab restaurants near here that are open late until 2 a m
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["crab"], "Hours": ["open late until 2 a m"]}


Instruction:
Text: are there any dining specials at le bec fin
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["specials"], "Restaurant Name": ["le bec fin"]}


Instruction:
Text: are there any donut and donuts within 5 minutes drive that has an extensive beer menu
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Restaurant Name": ["donut and donuts"], "Location": ["within 5 minutes drive"], "Amenity": ["extensive beer menu"]}


Instruction:
Text: are there any eatery at the hotel downtown
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:


Instruction:
Text: are there any exciting joints along the way thats reasonably priced
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["exciting"], "Location": ["along the way"], "Price": ["reasonably"]}


Instruction:
Text: are there any fancy cambodian places on seaver street
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["fancy"], "Cuisine": ["cambodian"], "Location": ["seaver street"]}


Instruction:
Text: are there any fast food joints east of here
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["fast food"], "Location": ["east of here"]}


Instruction:
Text: are there any fast food restaurants that are kid friendly
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["fast food"], "Amenity": ["kid friendly"]}


Instruction:
Text: are there any fine dining options within 5 miles of my location
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["fine dining"], "Location": ["within 5 miles"]}


Instruction:
Text: are there any five star restaurants around here
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["five star"], "Location": ["around here"]}


Instruction:
Text: are there any four star restaurants in this town
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["four star"], "Location": ["town"]}


Instruction:
Text: are there any fun restaurants serving brisket in town
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["fun"], "Dish": ["brisket"], "Location": ["in town"]}


Instruction:
Text: are there any good family style restaurants around boston
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Amenity": ["family style"], "Location": ["around boston"]}


Instruction:
Text: are there any good soul food restaurants near by
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Rating": ["good"], "Cuisine": ["soul"], "Location": ["near by"]}


Instruction:
Text: are there any greek restaurants in the area
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["greek"], "Location": ["in the area"]}


Instruction:
Text: are there any greek restaurants in the theater district of the back bay
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["greek"], "Location": ["back bay", "theater district"]}


Instruction:
Text: are there any hamburger restaurants close by
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer:

{"Cuisine": ["hamburger"], "Location": ["close by"]}


Instruction:
Text: are there any hotels nearby that have private rooms available at 1 am
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {Rating/Location/Amenity/Cuisine/Hours/Price/Dish/Restaurant Name：[entities]}.
Answer: