Jane Lynch
E229608
Jane Lynch is an American actress and comedian best known for her sharp-witted roles in film and television, particularly as Sue Sylvester on the TV series "Glee."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jane Lynch canonical | 22 |
How this entity was disambiguated
This entity first appeared as the object of triple T2009002 — 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: Jane Lynch Context triple: [Julie & Julia, starring, Jane Lynch]
-
A.
Tamara Tunie
Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
-
B.
Katey Sagal
Katey Sagal is an American actress and singer best known for her television roles, including Peggy Bundy on "Married... with Children" and Gemma Teller Morrow on "Sons of Anarchy."
-
C.
Marcia Gay Harden
Marcia Gay Harden is an American actress known for her versatile performances in film, television, and theater, including her Academy Award–winning role in "Pollock."
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D.
Mary Lynn Rajskub
Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
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E.
Becky Ann Baker
Becky Ann Baker is an American actress known for her character roles in film and television, including her acclaimed performance as Loreen Horvath on the HBO series "Girls."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Jane Lynch Target entity description: Jane Lynch is an American actress and comedian best known for her sharp-witted roles in film and television, particularly as Sue Sylvester on the TV series "Glee."
-
A.
Tamara Tunie
Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
-
B.
Katey Sagal
Katey Sagal is an American actress and singer best known for her television roles, including Peggy Bundy on "Married... with Children" and Gemma Teller Morrow on "Sons of Anarchy."
-
C.
Marcia Gay Harden
Marcia Gay Harden is an American actress known for her versatile performances in film, television, and theater, including her Academy Award–winning role in "Pollock."
-
D.
Mary Lynn Rajskub
Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
-
E.
Becky Ann Baker
Becky Ann Baker is an American actress known for her character roles in film and television, including her acclaimed performance as Loreen Horvath on the HBO series "Girls."
- F. None of above. chosen
Statements (47)
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: Jane Lynch Description of subject: Jane Lynch is an American actress and comedian best known for her sharp-witted roles in film and television, particularly as Sue Sylvester on the TV series "Glee."
Referenced by (22)
Full triples — surface form annotated when it differs from this entity's canonical label.