Ming-Na Wen
E343851
Ming-Na Wen is a Chinese-American actress best known for her roles in projects like ER, Agents of S.H.I.E.L.D., and various Disney productions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Ming-Na Wen canonical | 17 |
| Ming-Na | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3249177 — 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: Ming-Na Wen Context triple: [Mulan (1998 film), voiceActor, Ming-Na Wen]
-
A.
Zoë Chao
Zoë Chao is an American actress and writer known for her work in film and television, including prominent roles in indie comedies and streaming series.
-
B.
Lucy Liu
Lucy Liu is an American actress and producer known for her versatile roles in film and television, including standout performances in projects like "Ally McBeal," "Kill Bill," and "Elementary."
-
C.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
D.
Bai Ling
Bai Ling is a Chinese-American actress known for her eccentric persona and roles in films such as "The Crow," "Red Corner," and various independent and genre movies.
-
E.
Michelle Yeoh
Michelle Yeoh is an acclaimed Malaysian actress and former martial artist best known for her roles in films such as Crouching Tiger, Hidden Dragon, Tomorrow Never Dies, and the Oscar-winning Everything Everywhere All at Once.
- 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: Ming-Na Wen Target entity description: Ming-Na Wen is a Chinese-American actress best known for her roles in projects like ER, Agents of S.H.I.E.L.D., and various Disney productions.
-
A.
Zoë Chao
Zoë Chao is an American actress and writer known for her work in film and television, including prominent roles in indie comedies and streaming series.
-
B.
Lucy Liu
Lucy Liu is an American actress and producer known for her versatile roles in film and television, including standout performances in projects like "Ally McBeal," "Kill Bill," and "Elementary."
-
C.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
D.
Bai Ling
Bai Ling is a Chinese-American actress known for her eccentric persona and roles in films such as "The Crow," "Red Corner," and various independent and genre movies.
-
E.
Michelle Yeoh
Michelle Yeoh is an acclaimed Malaysian actress and former martial artist best known for her roles in films such as Crouching Tiger, Hidden Dragon, Tomorrow Never Dies, and the Oscar-winning Everything Everywhere All at Once.
- F. None of above. chosen
Statements (47)
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: Ming-Na Wen Description of subject: Ming-Na Wen is a Chinese-American actress best known for her roles in projects like ER, Agents of S.H.I.E.L.D., and various Disney productions.
Referenced by (20)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Mulan
linked to: Ming-Na Wen
linked to: Ming-Na Wen
subject linked to:
Street Fighter
linked to: Ming-Na Wen