Mun Choi
E847428
Mun Choi is a Korean-American engineer and academic administrator who serves as a prominent university leader in the United States.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mun Choi canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T10190363 — 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: Mun Choi Context triple: [MU, president, Mun Choi]
-
A.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
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B.
Wai Ching Ho
Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
-
C.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
-
D.
Ka Ho Cho
Ka Ho Cho is best known as the fourth and final wife of American comedian and actor Redd Foxx.
-
E.
Poy Gum Lee
Poy Gum Lee was a Chinese-American architect known for blending modernist design with traditional Chinese elements in prominent early 20th-century projects in China and the United States.
- 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: Mun Choi Target entity description: Mun Choi is a Korean-American engineer and academic administrator who serves as a prominent university leader in the United States.
-
A.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
B.
Wai Ching Ho
Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
-
C.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
-
D.
Ka Ho Cho
Ka Ho Cho is best known as the fourth and final wife of American comedian and actor Redd Foxx.
-
E.
Poy Gum Lee
Poy Gum Lee was a Chinese-American architect known for blending modernist design with traditional Chinese elements in prominent early 20th-century projects in China and the United States.
- F. None of above. chosen
Statements (32)
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: Mun Choi Description of subject: Mun Choi is a Korean-American engineer and academic administrator who serves as a prominent university leader in the United States.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.