Stephen McKinley Henderson
E227859
Stephen McKinley Henderson is an American character actor known for his acclaimed work in film, television, and theater, including a supporting role in the 2021 adaptation of "Dune."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stephen McKinley Henderson canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T2022488 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Stephen McKinley Henderson Context triple: [Dune (2021 film), castMember, Stephen McKinley Henderson]
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A.
Jeffrey Jones
Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
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B.
Glynn Turman
Glynn Turman is an American actor known for his extensive work in film, television, and theater, including notable roles in projects like "Cooley High," "The Wire," and numerous stage productions.
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C.
Roger Brown
Roger Brown was a professional basketball player best known for his scoring and rebounding in the American Basketball Association during the 1970s.
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D.
Roger Brown
Roger Brown was an influential American social psychologist and linguist known for his pioneering research on language acquisition and the social psychology of language.
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E.
John Amos
John Amos is an American actor best known for his roles in the television series "Good Times" and the miniseries "Roots."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Stephen McKinley Henderson Target entity description: Stephen McKinley Henderson is an American character actor known for his acclaimed work in film, television, and theater, including a supporting role in the 2021 adaptation of "Dune."
-
A.
Jeffrey Jones
Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
-
B.
Glynn Turman
Glynn Turman is an American actor known for his extensive work in film, television, and theater, including notable roles in projects like "Cooley High," "The Wire," and numerous stage productions.
-
C.
Roger Brown
Roger Brown was a professional basketball player best known for his scoring and rebounding in the American Basketball Association during the 1970s.
-
D.
Roger Brown
Roger Brown was an influential American social psychologist and linguist known for his pioneering research on language acquisition and the social psychology of language.
-
E.
John Amos
John Amos is an American actor best known for his roles in the television series "Good Times" and the miniseries "Roots."
- F. None of above. chosen
Statements (51)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Stephen McKinley Henderson Description of subject: Stephen McKinley Henderson is an American character actor known for his acclaimed work in film, television, and theater, including a supporting role in the 2021 adaptation of "Dune."
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.