David Franco
E825312
David Franco is a cinematographer known for his work on the film "Boycott."
All labels observed (1)
| Label | Occurrences |
|---|---|
| David Franco canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T9835522 — 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: David Franco Context triple: [Boycott, cinematographyBy, David Franco]
-
A.
Dave Franco
Dave Franco is an American actor and filmmaker known for roles in films like "21 Jump Street," "Now You See Me," and "Neighbors."
-
B.
T. J. Miller
T. J. Miller is an American actor and stand-up comedian known for his roles in films like "Deadpool" and the HBO series "Silicon Valley," as well as extensive voice work in animated movies.
-
C.
Dan Fogler
Dan Fogler is an American actor and comedian best known for roles in films like "Fantastic Beasts" and "Balls of Fury" as well as his work on stage and in voice acting.
-
D.
David Fumero
David Fumero is a Cuban-American actor and former fashion model best known for his role as Cristian Vega on the soap opera "One Life to Live."
-
E.
Zach Woods
Zach Woods is an American actor and comedian best known for his roles on television series such as "The Office," "Silicon Valley," and "Avenue 5."
- 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: David Franco Target entity description: David Franco is a cinematographer known for his work on the film "Boycott."
-
A.
Dave Franco
Dave Franco is an American actor and filmmaker known for roles in films like "21 Jump Street," "Now You See Me," and "Neighbors."
-
B.
T. J. Miller
T. J. Miller is an American actor and stand-up comedian known for his roles in films like "Deadpool" and the HBO series "Silicon Valley," as well as extensive voice work in animated movies.
-
C.
Dan Fogler
Dan Fogler is an American actor and comedian best known for roles in films like "Fantastic Beasts" and "Balls of Fury" as well as his work on stage and in voice acting.
-
D.
David Fumero
David Fumero is a Cuban-American actor and former fashion model best known for his role as Cristian Vega on the soap opera "One Life to Live."
-
E.
Zach Woods
Zach Woods is an American actor and comedian best known for his roles on television series such as "The Office," "Silicon Valley," and "Avenue 5."
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf |
cinematographer
ⓘ
film ⓘ person ⓘ |
| hasCinematographyBy | David Franco ⓘ |
| knownFor | Boycott ⓘ |
| occupation | cinematographer ⓘ |
| roleInBoycott | cinematographer ⓘ |
| workedOn | Boycott ⓘ |
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: David Franco Description of subject: David Franco is a cinematographer known for his work on the film "Boycott."
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.