Michael Ealy
E71672
Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Michael Ealy canonical | 21 |
| Mekhi Phifer | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T522916 — 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: Michael Ealy Context triple: [Think Like a Man, castMember, Michael Ealy]
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A.
Dennis Haysbert
Dennis Haysbert is an American actor known for his deep voice and prominent roles in film and television, including "24," "Major League," and numerous commercial campaigns.
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B.
Jeffrey Dean
Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
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C.
Kevin Michael Richardson
Kevin Michael Richardson is an American voice actor known for his deep, resonant voice and prolific work in animated television series, films, and video games.
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D.
Timothy Black
Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
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E.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Michael Ealy Target entity description: Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
-
A.
Dennis Haysbert
Dennis Haysbert is an American actor known for his deep voice and prominent roles in film and television, including "24," "Major League," and numerous commercial campaigns.
-
B.
Jeffrey Dean
Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
-
C.
Kevin Michael Richardson
Kevin Michael Richardson is an American voice actor known for his deep, resonant voice and prolific work in animated television series, films, and video games.
-
D.
Timothy Black
Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
-
E.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
- F. None of above. chosen
Statements (49)
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: Michael Ealy Description of subject: Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
Referenced by (22)
Full triples — surface form annotated when it differs from this entity's canonical label.