Kelly Hu
E457327
Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kelly Hu canonical | 12 |
How this entity was disambiguated
This entity first appeared as the object of triple T4654586 — 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: Kelly Hu Context triple: [The Librarian: Quest for the Spear, castMember, Kelly Hu]
-
A.
Kelly Chan
Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
-
B.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
C.
Jean Liu
Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
-
D.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
E.
Hong Chau
Hong Chau is an American actress acclaimed for her nuanced performances in film and television, including prominent roles in projects like "Downsizing," "The Whale," and various prestige TV series.
- 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: Kelly Hu Target entity description: Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
-
A.
Kelly Chan
Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
-
B.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
C.
Jean Liu
Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
-
D.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
E.
Hong Chau
Hong Chau is an American actress acclaimed for her nuanced performances in film and television, including prominent roles in projects like "Downsizing," "The Whale," and various prestige TV series.
- F. None of above. chosen
Statements (60)
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: Kelly Hu Description of subject: Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.