Megan Fox
E296897
Megan Fox is an American actress and model known for her roles in blockbuster action films such as the Transformers series and various high-profile Hollywood productions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Megan Fox canonical | 10 |
| Megan Denise Fox | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2771030 — 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: Megan Fox Context triple: [Expend4bles, starring, Megan Fox]
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A.
Jessica Alba
Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
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B.
Jessica Biel
Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
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C.
Sanaa Lathan
Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
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D.
Kate Bosworth
Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
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E.
Cameron Diaz
Cameron Diaz is an American actress known for her roles in hit films such as "There's Something About Mary," "Charlie's Angels," and "Shrek."
- 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: Megan Fox Target entity description: Megan Fox is an American actress and model known for her roles in blockbuster action films such as the Transformers series and various high-profile Hollywood productions.
-
A.
Jessica Alba
Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
-
B.
Jessica Biel
Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
-
C.
Sanaa Lathan
Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
-
D.
Kate Bosworth
Kate Bosworth is an American actress best known for her roles in films such as "Blue Crush" and "Superman Returns."
-
E.
Cameron Diaz
Cameron Diaz is an American actress known for her roles in hit films such as "There's Something About Mary," "Charlie's Angels," and "Shrek."
- F. None of above. chosen
Statements (53)
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: Megan Fox Description of subject: Megan Fox is an American actress and model known for her roles in blockbuster action films such as the Transformers series and various high-profile Hollywood productions.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.