Patricia Arquette
E67684
Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
All labels observed (3)
| Label | Occurrences |
|---|---|
| Patricia Arquette canonical | 67 |
| Patricia Arquette won Primetime Emmy Award for playing her | 1 |
| Patricia Tiffany Arquette | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T535672 — 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: Patricia Arquette Context triple: [Primetime Emmy Award for Outstanding Lead Actress in a Drama Series, notableRecipient, Patricia Arquette]
-
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.
Gina Gershon
Gina Gershon is an American actress known for her versatile roles in film, television, and theater, including standout performances in movies like "Bound" and "Showgirls."
-
C.
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."
-
D.
Laura Linney
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."
-
E.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
- 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: Patricia Arquette Target entity description: Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
-
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.
Gina Gershon
Gina Gershon is an American actress known for her versatile roles in film, television, and theater, including standout performances in movies like "Bound" and "Showgirls."
-
C.
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."
-
D.
Laura Linney
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."
-
E.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
- 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: Patricia Arquette Description of subject: Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
Referenced by (69)
Full triples — surface form annotated when it differs from this entity's canonical label.
Primetime Emmy Award for Outstanding Lead Actress in a Drama Series
→
notableRecipient
→
Patricia Arquette
ⓘ
linked to: Patricia Arquette