S. Epatha Merkerson
E387849
S. Epatha Merkerson is an American actress best known for her long-running role as Lieutenant Anita Van Buren on the television series "Law & Order."
All labels observed (1)
| Label | Occurrences |
|---|---|
| S. Epatha Merkerson canonical | 9 |
How this entity was disambiguated
This entity first appeared as the object of triple T3785153 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. Epatha Merkerson Context triple: [Black Snake Moan, starring, S. Epatha Merkerson]
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A.
Susaye Greene
Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
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B.
Jenifer Lewis
Jenifer Lewis is an American actress, singer, and comedian known for her dynamic supporting roles in film and television, including her work in musical and family-oriented movies.
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C.
Lonette McKee
Lonette McKee is an American actress, singer, and songwriter best known for her roles in films like "Sparkle" and "Brewster's Millions" and for her work on stage and television.
-
D.
Dawnn Lewis
Dawnn Lewis is an American actress and singer best known for her role as Jaleesa Vinson-Taylor on the television sitcom "A Different World."
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E.
Nicole Avant
Nicole Avant is an American film producer, former U.S. Ambassador to the Bahamas, and daughter of influential music executive Clarence Avant.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S. Epatha Merkerson Target entity description: S. Epatha Merkerson is an American actress best known for her long-running role as Lieutenant Anita Van Buren on the television series "Law & Order."
-
A.
Susaye Greene
Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
-
B.
Jenifer Lewis
Jenifer Lewis is an American actress, singer, and comedian known for her dynamic supporting roles in film and television, including her work in musical and family-oriented movies.
-
C.
Lonette McKee
Lonette McKee is an American actress, singer, and songwriter best known for her roles in films like "Sparkle" and "Brewster's Millions" and for her work on stage and television.
-
D.
Dawnn Lewis
Dawnn Lewis is an American actress and singer best known for her role as Jaleesa Vinson-Taylor on the television sitcom "A Different World."
-
E.
Nicole Avant
Nicole Avant is an American film producer, former U.S. Ambassador to the Bahamas, and daughter of influential music executive Clarence Avant.
- F. None of above. chosen
Statements (48)
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.
Instruction
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.
Input
Subject: S. Epatha Merkerson Description of subject: S. Epatha Merkerson is an American actress best known for her long-running role as Lieutenant Anita Van Buren on the television series "Law & Order."
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.