Emma Watson
E117460
Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Emma Watson canonical | 32 |
| Emma Charlotte Duerre Watson | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T995729 — 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: Emma Watson Context triple: [Harry Potter and the Order of the Phoenix, leadActor, Emma Watson]
-
A.
Felicity Jones
Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
-
B.
Tamsin Egerton
Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
-
C.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
D.
Sienna Miller
Sienna Miller is a British-American actress and model known for her roles in films such as "Layer Cake," "Factory Girl," and "American Sniper," as well as for her prominent presence in 2000s popular culture and fashion.
-
E.
Jamie Bell
Jamie Bell is an English actor best known for his breakthrough role in the film "Billy Elliot" and subsequent work in movies such as "King Kong," "Snowpiercer," and "Rocketman."
- 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: Emma Watson Target entity description: Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
-
A.
Felicity Jones
Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
-
B.
Tamsin Egerton
Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
-
C.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
D.
Sienna Miller
Sienna Miller is a British-American actress and model known for her roles in films such as "Layer Cake," "Factory Girl," and "American Sniper," as well as for her prominent presence in 2000s popular culture and fashion.
-
E.
Jamie Bell
Jamie Bell is an English actor best known for his breakthrough role in the film "Billy Elliot" and subsequent work in movies such as "King Kong," "Snowpiercer," and "Rocketman."
- F. None of above. chosen
Statements (56)
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: Emma Watson Description of subject: Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
Referenced by (33)
Full triples — surface form annotated when it differs from this entity's canonical label.