Debra Messing
E157214
Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
All labels observed (5)
| Label | Occurrences |
|---|---|
| Debra Messing canonical | 35 |
| Debra Messing as Kat Ellis | 1 |
| DebraMessing | 1 |
| Grace Adler: Debra Messing | 1 |
| Stacey Colbert;Debra Messing | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1226095 — 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: Debra Messing Context triple: [Smash, stars, Debra Messing]
-
A.
Christine Baranski
Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
-
B.
Candice Bergen
Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
-
C.
Dianne Wiest
Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
-
D.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
-
E.
Ellen Barkin
Ellen Barkin is an American actress known for her intense, edgy performances in film and television, including prominent roles in movies like "The Big Easy" and the TV series "Animal Kingdom."
- 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: Debra Messing Target entity description: Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
-
A.
Christine Baranski
Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
-
B.
Candice Bergen
Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
-
C.
Dianne Wiest
Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
-
D.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
-
E.
Ellen Barkin
Ellen Barkin is an American actress known for her intense, edgy performances in film and television, including prominent roles in movies like "The Big Easy" and the TV series "Animal Kingdom."
- 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: Debra Messing Description of subject: Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
Referenced by (39)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Debra Messing
linked to: Debra Messing
linked to: Debra Messing
linked to: Debra Messing
subject linked to:
NBC television series Smash
subject linked to:
Grace Adler; Will & Grace
subject linked to:
Open Season (2006 film)
subject linked to:
The Comedy Central Roast of Alec Baldwin (director)