Daniel Kwan
E349940
Daniel Kwan is an American filmmaker best known as one half of the directing duo Daniels, who co-wrote and co-directed the acclaimed film "Everything Everywhere All at Once."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daniel Kwan canonical | 16 |
How this entity was disambiguated
This entity first appeared as the object of triple T3342120 — 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: Daniel Kwan Context triple: [Ke Huy Quan, workedWith, Daniel Kwan]
-
A.
Damien Chazelle
Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
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B.
Jordan Vogt-Roberts
Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
-
C.
Dan Goor
Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
-
D.
Nico Parker
Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
-
E.
Alex Gansa
Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
- 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: Daniel Kwan Target entity description: Daniel Kwan is an American filmmaker best known as one half of the directing duo Daniels, who co-wrote and co-directed the acclaimed film "Everything Everywhere All at Once."
-
A.
Damien Chazelle
Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
-
B.
Jordan Vogt-Roberts
Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
-
C.
Dan Goor
Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
-
D.
Nico Parker
Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
-
E.
Alex Gansa
Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
- F. None of above. chosen
Statements (50)
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: Daniel Kwan Description of subject: Daniel Kwan is an American filmmaker best known as one half of the directing duo Daniels, who co-wrote and co-directed the acclaimed film "Everything Everywhere All at Once."
Referenced by (16)
Full triples — surface form annotated when it differs from this entity's canonical label.