Kate Winslet
E72394
Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Kate Winslet canonical | 91 |
| Jeanine Matthews – Kate Winslet | 1 |
| Kate Elizabeth Winslet | 1 |
| Kate Winslet as Rose DeWitt Bukater | 1 |
| Winslet | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T552524 — 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: Kate Winslet Context triple: [BAFTA Award for Best Supporting Actress, notableRecipient, Kate Winslet]
-
A.
Keira Knightley
Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
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B.
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.
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C.
Catherine Zeta-Jones
Catherine Zeta-Jones is a Welsh actress acclaimed for her roles in films such as "Chicago" and "The Mask of Zorro," for which she has received numerous awards including an Academy Award.
-
D.
Cate Blanchett
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
E.
Nicole Kidman
Nicole Kidman is an acclaimed Australian-American actress and producer known for her versatile performances in films such as "Moulin Rouge!", "The Hours," and "Big Little Lies," for which she has received multiple Academy Awards, Golden Globes, and Emmys.
- 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: Kate Winslet Target entity description: Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
-
A.
Keira Knightley
Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
-
B.
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.
-
C.
Catherine Zeta-Jones
Catherine Zeta-Jones is a Welsh actress acclaimed for her roles in films such as "Chicago" and "The Mask of Zorro," for which she has received numerous awards including an Academy Award.
-
D.
Cate Blanchett
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
E.
Nicole Kidman
Nicole Kidman is an acclaimed Australian-American actress and producer known for her versatile performances in films such as "Moulin Rouge!", "The Hours," and "Big Little Lies," for which she has received multiple Academy Awards, Golden Globes, and Emmys.
- F. None of above. chosen
Statements (75)
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: Kate Winslet Description of subject: Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
Referenced by (95)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Sense and Sensibility (1995 film)
this entity surface form:
Kate Winslet as Rose DeWitt Bukater
this entity surface form:
Kate Elizabeth Winslet
this entity surface form:
Winslet
subject surface form:
Mildred Pierce (2011 miniseries)
subject surface form:
Mildred Pierce (2011 miniseries)
subject surface form:
Mildred Pierce (2011 miniseries)
subject surface form:
Extras
subject surface form:
The Mountain Between Us
subject surface form:
Alex Martin
subject surface form:
Alex Martin