Claire Foy
E276458
Claire Foy is an English actress best known for her acclaimed portrayal of Queen Elizabeth II in the early seasons of the Netflix series "The Crown."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Claire Foy canonical | 12 |
How this entity was disambiguated
This entity first appeared as the object of triple T2532602 — 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: Claire Foy Context triple: [Vanessa Kirby, workedWith, Claire Foy]
-
A.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
B.
Rebecca Hall
Rebecca Hall is a British-American actress and filmmaker known for her nuanced performances in films such as "Vicky Cristina Barcelona," "The Town," and "Christine."
-
C.
Sophie Fiennes
Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
-
D.
Martha Fiennes
Martha Fiennes is a British film director, writer, and producer best known for her visually distinctive adaptation of "Onegin."
-
E.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
- 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: Claire Foy Target entity description: Claire Foy is an English actress best known for her acclaimed portrayal of Queen Elizabeth II in the early seasons of the Netflix series "The Crown."
-
A.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
B.
Rebecca Hall
Rebecca Hall is a British-American actress and filmmaker known for her nuanced performances in films such as "Vicky Cristina Barcelona," "The Town," and "Christine."
-
C.
Sophie Fiennes
Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
-
D.
Martha Fiennes
Martha Fiennes is a British film director, writer, and producer best known for her visually distinctive adaptation of "Onegin."
-
E.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
- F. None of above. chosen
Statements (49)
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: Claire Foy Description of subject: Claire Foy is an English actress best known for her acclaimed portrayal of Queen Elizabeth II in the early seasons of the Netflix series "The Crown."
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.