  This work supports further development of language technology for the
languages of Africa by providing a Wikidata-derived resource of name lists
corresponding to common entity types (person, location, and organization).
While we are not the first to mine Wikidata for name lists, our approach
emphasizes scalability and replicability and addresses data quality issues for
languages that do not use Latin scripts. We produce lists containing
approximately 1.9 million names across 28 African languages. We describe the
data, the process used to produce it, and its limitations, and provide the
software and data for public use. Finally, we discuss the ethical
considerations of producing this resource and others of its kind.

Computation and Language;Artificial Intelligence