Laura Linney
E52403
Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
All labels observed (3)
| Label | Occurrences |
|---|---|
| Laura Linney canonical | 62 |
| Laura Leggett Linney | 1 |
| Laura Linney (American actress) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T382108 — 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: Laura Linney Context triple: [Love Actually, hasCastMember, Laura Linney]
-
A.
Melissa Leo
Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
-
B.
Jennifer Ehle
Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
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.
Michelle Williams
Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
-
E.
Laura Dern
Laura Dern is an acclaimed American actress known for her versatile performances in film and television, including roles in works like "Jurassic Park," "Blue Velvet," and "Big Little Lies."
- 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: Laura Linney Target entity description: Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
-
A.
Melissa Leo
Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
-
B.
Jennifer Ehle
Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
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.
Michelle Williams
Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
-
E.
Laura Dern
Laura Dern is an acclaimed American actress known for her versatile performances in film and television, including roles in works like "Jurassic Park," "Blue Velvet," and "Big Little Lies."
- F. None of above. chosen
Statements (50)
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: Laura Linney Description of subject: Laura Linney is an American actress acclaimed for her versatile performances in film, television, and theater, with notable roles in works such as "You Can Count on Me," "The Truman Show," and the series "Ozark."
Referenced by (64)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Laura Linney
subject linked to:
John Adams
subject linked to:
Mr. Holmes (2015 film)
subject linked to:
Sarah Shaw – Laura Linney
subject linked to:
Sarah Shaw – Laura Linney
linked to: Laura Linney
subject linked to:
Clara McMillen in Kinsey