Instruction:
Text: He died at his home at Earls Court and was buried at West Norwood Cemetery .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Earls Court"], "organization": ["West Norwood Cemetery"]}


Instruction:
Text: Both teams had the chance to play in Super Bowl XLIX .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Its closest competitor is the Encash Network Service .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Encash Network Service"]}


Instruction:
Text: Turning Stone Casino , Verona , New York , United States
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Turning Stone Casino"], "location": ["United States", "Verona , New York"]}


Instruction:
Text: Crown , Monongalia County , West Virginia
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Crown , Monongalia County , West Virginia"]}


Instruction:
Text: Tang Yik Chun , Lai Chun Ho , Ng Ka Fung , Tsui Chi Ho
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Tsui Chi Ho", "Lai Chun Ho", "Ng Ka Fung", "Tang Yik Chun"]}


Instruction:
Text: '' 1999 '' ( Prince )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["1999"], "person": ["Prince"]}


Instruction:
Text: Hay River Reserve
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: '' Heathcliff '' ( 1980 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Galician Academy ( private )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: '' Thysanoplusia orichalcea '' ( Fabricius , 1775 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He became George III 's Chaplain-in-Ordinary .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["George III", "Chaplain-in-Ordinary"]}


Instruction:
Text: Mark King ( born 1958 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Paul Tsongas - 209 ( 4.98 % )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: '' Papilio polyxenes ''
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: '' Heliothis nubigera '' Herrich-Schäffer , 1851
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: ' '' Andaman and Nicobar Islands '' '
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Andaman and Nicobar Islands"]}


Instruction:
Text: Glasston , North Dakota
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Glasston , North Dakota"]}


Instruction:
Text: St. Martin River
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The album reached number one halfway through its first week , with over 2,500 copies sold ( rivalling Adele , Bruno Mars and Ed Sheeran ) .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Bruno Mars", "Adele", "Ed Sheeran"]}


Instruction:
Text: Winx Club '' ( 2005–08 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Organized at Fort Craig , it was mustered on 23 November 1861 and served until 28 February 1862 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Rudy Wurlitzer as Tom O'Folliard
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Rudy Wurlitzer", "Tom O'Folliard"]}


Instruction:
Text: Conrad Aiken - W. H. Auden - George Barker - John Berryman - Robert Bly - Hart Crane - E. E. Cummings - Donald Davie - James Dickey - H. D . - Keith Douglas - Richard Eberhart - T. S. Eliot - William Empson - David Gascoyne - W. S. Graham - Robert Graves - Thom Gunn - John Heath-Stubbs - Geoffrey Hill - Gerard Manley Hopkins - Ted Hughes - T. E. Hulme - David Jones - Philip Larkin - D. H. Lawrence - Denise Levertov - C. Day Lewis - Robert Lowell - Norman MacCaig - Hugh MacDiarmid - Louis MacNeice - Charles Madge - W. S. Merwin - Christopher Middleton - Harold Monro - Marianne Moore - Edwin Muir - Howard Nemerov - Charles Olson - Wilfred Owen - Sylvia Plath - Ezra Pound - F. T. Prince - Kathleen Raine - John Crowe Ransom - Herbert Read - Laura Riding - Anne Ridler - Michael Roberts - Theodore Roethke - Isaac Rosenberg - Louis Simpson - Edith Sitwell - W. D. Snodgrass - Stephen Spender - Wallace Stevens - Allen Tate - Dylan Thomas - R. S. Thomas - Charles Tomlinson - Vernon Watkins - Richard Wilbur - William Carlos Williams - James Wright - W. B. Yeats
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Louis Simpson", "John Heath-Stubbs", "W. S. Graham", "T. E. Hulme", "Robert Lowell", "John Crowe Ransom", "W. H. Auden", "Christopher Middleton", "Louis MacNeice", "Charles Olson", "Geoffrey Hill", "Laura Riding", "Wallace Stevens", "Anne Ridler", "Wilfred Owen", "Charles Tomlinson", "Marianne Moore", "Edith Sitwell", "David Gascoyne", "Allen Tate", "William Carlos Williams", "W. B. Yeats", "George Barker", "Denise Levertov", "Michael Roberts", "E. Cummings", "Philip Larkin", "Sylvia Plath", "Isaac Rosenberg", "Stephen Spender", "F. T. Prince", "Theodore Roethke", "Robert Bly", "Edwin Muir", "T. S. Eliot", "Robert Graves", "E.", "Howard Nemerov", "Ezra Pound", "Herbert Read", "W. S. Merwin", "Donald Davie", "Harold Monro", "David Jones", "Hart Crane", "Thom Gunn", "Norman MacCaig", "Kathleen Raine", "Gerard Manley Hopkins", "R. S. Thomas", "Keith Douglas", "Vernon Watkins", "Hugh MacDiarmid", "Dylan Thomas", "Ted Hughes", "William Empson", "Richard Wilbur", "Richard Eberhart", "Charles Madge", "W. D. Snodgrass", "D. H. Lawrence", "Conrad Aiken", "John Berryman", "James Wright", "James Dickey"], "organization": ["H. D .", "C. Day Lewis"]}


Instruction:
Text: *Seated figure of Sir Walter Scott for Powderham Castle ( 1832 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Sir Walter Scott"], "location": ["Powderham Castle"]}


Instruction:
Text: Sandy Ridge , North Carolina
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Sandy Ridge , North Carolina"]}


Instruction:
Text: Ashok Kumar ( Telugu actor )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Ashok Kumar ( Telugu actor )"]}


Instruction:
Text: Thomas Gabriel Fischer leaves Celtic Frost in April .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Thomas Gabriel Fischer"], "organization": ["Celtic Frost"]}


Instruction:
Text: '' Can You Teach My Alligator Manners ? ''
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Can You Teach My Alligator Manners ?"]}


Instruction:
Text: Otto Geßler ( Acting ) ( 1875–1955 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: : On Lifetime Channel
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: RCI 367 ( Radio Canada International )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Radio Canada International"]}


Instruction:
Text: Sir Robert Robinson , from 1930 to 1954 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Hutton , Frederick Wollaston .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Hutton , Frederick Wollaston"]}


Instruction:
Text: '' Macrobathra monoclina ''
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He one of eleven founding members of the American Society of Landscape Architects in 1899 and was active in the City Beautiful Movement '' .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["City Beautiful Movement", "American Society of Landscape Architects"]}


Instruction:
Text: Alberto Mancini won in the final 7–5 , 2–6 , 7–6 , 7–5 against Boris Becker .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Alberto Mancini", "Boris Becker"]}


Instruction:
Text: '' Congoharpax aberrans ''
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Kaohsiung Museum of Labor
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Kaohsiung Museum of Labor"]}


Instruction:
Text: Benigno S. Aquino , Jr . , August 21 , 2004 ( posthumous )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Benigno S. Aquino , Jr ."]}


Instruction:
Text: Lina Carstens ( 1892–1978 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: **On June 26 against the Chicago Cubs , he got his 2000th career hit with a home run in the second inning .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Shahid Beheshti University of Medical Sciences
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Shahid Beheshti University of Medical Sciences"]}


Instruction:
Text: Carmelita Tropicana - Performance artist
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: University of Giessen
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["University of Giessen"]}


Instruction:
Text: Bradley Beal ( 34 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Five Borders shops in Oxford Street , Llantrisant , Blanchardstown , Swindon and London Colney were closed in July 2009 and replaced by New Look .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Oxford Street", "New Look"], "location": ["Blanchardstown", "London Colney", "Swindon", "Llantrisant"]}


Instruction:
Text: Lord Zetland , the Secretary of State for India , was presiding over the meeting and was wounded .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Lord Zetland"], "organization": ["Secretary of State for India"]}


Instruction:
Text: Night At The Museum
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Night At The Museum"]}


Instruction:
Text: Vepris trifoliolata '' ( Engl .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: ** `` Back for More '' – Sandwich
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Crested caracara , ''Caracara cheriway '' ( A )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: 8 July — Annie Shepherd Swan , writer ( died 1943 )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Vandino and Ugolino Vivaldi
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Vandino and Ugolino Vivaldi"]}


Instruction:
Text: Inhaler ( album )
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: On this occasion he failed to gain the support of the South Wales Miners ' Federation and had to stand down .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["South Wales Miners ' Federation"]}


Instruction:
Text: On both these occasions he was backed by the South Wales Miners ' Federation , but he was not successful .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["South Wales Miners ' Federation"]}


Instruction:
Text: The Colorado Rockies were created as an expansion franchise in 1993 and Coors Field opened in 1995 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Colorado Rockies"], "location": ["Coors Field"]}


Instruction:
Text: He kept busy recording demo tapes at his home and working various jobs , including a position as a contracted security guard at the La Valencia Hotel in La Jolla .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["La Jolla", "La Valencia Hotel"]}


Instruction:
Text: included future Rage Against the Machine and Audioslave drummer Brad Wilk .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Rage Against the Machine", "Audioslave"], "person": ["Brad Wilk"]}


Instruction:
Text: All of this greenery was fed with South Platte River water diverted through the city ditch .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He covered the Beatles ' " You 've Got to Hide Your Love Away " for the " I Am Sam " soundtrack .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The soundtrack was released on September 18 , 2007 through J Records .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: " He appears in the 2003 Ramones documentary , " End of the Century : The Story of the Ramones " .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: All of the city 's seats in the state legislature are held by Democrats .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He was like , " Hey , welcome to Seattle .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: These guys [ the other members of Pearl Jam ] know him much longer than me and his impact is profound " .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He also has paddled outrigger canoes on occasion and in 2005 was nearly lost at sea trying to paddle from Moloka'i to Oahu .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: At a rate of 19 homeless per 10,000 residents in 2011 as compared to 50 or more per 10,000 residents for the four metro areas with the highest rate of homelessness , Denver 's homeless population and rate of homeless are both considerably lower than many other major cities .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He attended Milligan College where he was an outstanding end and punter on the school 's football team .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: 281 in 1933 and played his last major league game on September 23 , 1933 , against the New York Yankees .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The following month , he signed a contract to play for the Newark Bears in the International League .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Newark Bears", "International League"]}


Instruction:
Text: He made a third appearance in a loss to Arsenal at Highbury , before being dropped for six matches .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The city voted 53.5 percent in favor of the marijuana legalization measure , which , as then-mayor John Hickenlooper pointed out , was without effect , because the city cannot usurp state law , which at that time treated marijuana possession in much the same way as a speeding ticket , with fines of up to $ 100 and no jail time .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He also played for several FA representative teams not officially described as " England " .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["FA"], "location": ["England"]}


Instruction:
Text: He took charge of just one match , as Norway were defeated 4 – 1 by neighbours and reigning gold medallists Sweden in the first round of the tournament .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Returning to Eskilstuna , he told the press that he wanted to initiate a new playing style of " long , sweeping passes " , and in addition to coaching the first team he also took charge of the youth team and coached at local Eskilstuna schools .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Eskilstuna"], "organization": ["Eskilstuna"]}


Instruction:
Text: Despite his apparent unpopularity , he still managed to take the club to a second-place finish at the end of the 1953 – 54 season , one place ahead of Eskilstuna .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Most of the streets downtown and in LoDo run northeast–southwest and northwest–southeast .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: In response , Sunflowers forecast 500,000 sales by the end of 2006 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: It was not until about 1907 – 1909 that he produced his first paintings , which were portraits and nudes in a style influenced by Fauvism and Cézanne .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Lyft plans to offer ride-sharing , electric scooter and e-bike services all from its app. It says that it will , each night , take the scooters to the warehouse for safety checks , maintenance and charging .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He made many drawings of street life in Charleston , New Orleans , and other places he visited .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Charleston", "New Orleans"]}


Instruction:
Text: Always in his bowler hat , he was a witty presence , along with his good friend Constant Detré , at Le Dôme Café , Jockey-Club de Paris , and the other haunts of the area 's bohemian society .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Constant Detré"], "location": ["Le Dôme Café"], "organization": ["Jockey-Club de Paris"]}


Instruction:
Text: A catalyst for even greater transformation of the area was the opening in June 2009 of the first segment of the High Line linear park .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Further development of a mountain corridor rail option , though publicly popular , has been met with resistance from politicians , namely the director of Colorado Department of Transportation .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Colorado Department of Transportation"]}


Instruction:
Text: By late May , however , he was back in the minors with the double A Tulsa Drillers after batting .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Shortly afterwards , he signed with the Cleveland Indians .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: 139 for the triple A Buffalo Bisons .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The match ended in 2 – 2 draw with Cagliari .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: In summer 2006 , he was loaned to Pizzighettone .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: After an unsuccessful half-season , he was loaned to Torres .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: In July 2008 , he signed a 1 + 2-year contract with Foggia on free transfer .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The first model ( launched June 1982 ) looked like the later IBM PC ( which came on the market years later ) , a rectangular base unit with two floppy drives on the front , and a monitor on top with a separate detachable keyboard .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: On 19 July 2013 he was signed by Catanzaro in 1 + 1 year contract .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He also scored once against former club Benevento in promotion playoffs , losing 1 – 2 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: On 30 June 2014 he was signed by SPAL .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: At the end of the season it is not confirmed , and accords with the Padova .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: On 2 September 2019 , he signed with Cavese .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The music was composed and conducted by Ronald Stein .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: The film is in the public domain , and several DVD editions exist , including one by Alpha Video .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He developed coal mines on his wife 's land in County Durham .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: In all these terms as MP he supported the Tory interest .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: She was the 4th and youngest daughter of the 3rd Earl of Darnley .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: On 12 August 1822 , his half-brother committed suicide He succeeded his half-brother as " 3rd Marquess of Londonderry " in 1822 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Lord Londonderry used his new bride 's immense wealth to acquire the Seaham Hall estate in County Durham to developing the coalfields there .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Londonderry"], "location": ["County Durham", "Seaham Hall"]}


Instruction:
Text: He also built the harbour at Seaham , to rival nearby Sunderland .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: It was completed by Philip Wyatt in 1841 and cost £ 130,000 ( equivalent to £ 10,772,000 in 2016 ) to build and furnish .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: During the tenant right campaign of the early 1850 s Londonderry insisted on his full rights and this alienated many of his tenants .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He was in disagreement over this question with his son and heir Frederick , who was more liberally inclined .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He died on 6 March 1854 at Londonderry House and was buried in Longnewtown , County Durham .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Longnewtown", "County Durham", "Londonderry House"]}


Instruction:
Text: It has been a Mattel brand since 1992 .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He represented Serbia at the 2010 FIFA World Cup .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: In January 2003 he moved to Sartid Smederevo .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: Ajax signed Mounir El Hamdaoui as his successor .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"organization": ["Ajax"], "person": ["Mounir El Hamdaoui"]}


Instruction:
Text: Her semi-autobiographical novel " One True Thing " ( 1994 ) served as the basis for the 1998 film starring Meryl Streep and Renée Zellweger .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Renée Zellweger", "Meryl Streep"]}


Instruction:
Text: It can now be found on digital online streaming on Vudu and digital download on iTunes .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: It was the first all-black show to reach the Broadway stage in over a decade and included a young Josephine Baker among the performers .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"location": ["Broadway"], "person": ["Josephine Baker"]}


Instruction:
Text: Fellow Belgian Johan Museeuw had escaped to a solo victory .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He won the race in Madrid , after the leading six riders were caught .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: However , he did not win a stage in the first week , beaten by Robbie McEwen and Óscar Freire .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Robbie McEwen", "Óscar Freire"]}


Instruction:
Text: In the Tour of Flanders , he took on a defensive role when his teammate Stijn Devolder escaped and won .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: A week later , he outsprinted Fabian Cancellara and Alessandro Ballan in the final 500 m to win the Paris–Roubaix .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Fabian Cancellara", "Alessandro Ballan"]}


Instruction:
Text: Its sporting director , Jean-René Bernaudeau , confirmed the report .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He returned to racing in the Eneco Tour where he won the third stage by beating Tyler Farrar in the sprint .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: He finished his season with a second place in Paris–Tours , beaten in a sprint of three by fellow countryman and defending champion Philippe Gilbert .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:


Instruction:
Text: His third victory equalled those of Achiel Buysse , Fiorenzo Magni , Eric Leman and Johan Museeuw .
【Named Entity Recognition】From the given text, extract all the entities and types. Please format the answer in json {location/person/organization：[entities]}.
Answer:

{"person": ["Johan Museeuw", "Achiel Buysse", "Eric Leman", "Fiorenzo Magni"]}