Matthew Jensen
E289645
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Matthew Jensen canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T1770958 — 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: Matthew Jensen Context triple: [Wonder Woman (2017 film), cinematographyBy, Matthew Jensen]
-
A.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
D.
Matthew Schmidt
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
-
E.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
- 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: Matthew Jensen Target entity description: Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
A.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
D.
Matthew Schmidt
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
-
E.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
cinematographer
ⓘ
person ⓘ |
| activeIn | 21st century ⓘ |
| collaboratedWith | Patty Jenkins ⓘ |
| countryOfWork |
United States
ⓘ
linked to:
United States of America
|
| field | cinematography ⓘ |
| gender | male ⓘ |
| genreSpecialization |
fantasy television
ⓘ
science fiction films ⓘ superhero films ⓘ |
| industry |
film industry
ⓘ
television industry ⓘ |
| knownFor |
Wonder Woman (2017 film)
ⓘ
linked to:
Wonder Woman
|
| languageOfWork | English ⓘ |
| nationality | American ⓘ |
| notableWork |
Chronicle (2012 film)
ⓘ
Game of Thrones (TV series) ⓘ
linked to:
Game of Thrones
Wonder Woman (2017 film) ⓘ
linked to:
Wonder Woman
|
| occupation | cinematographer ⓘ |
| roleInWonderWoman (2017 film) | director of photography ⓘ |
| workedOn |
Chronicle (2012 film)
ⓘ
Fantastic Four (2015 film) ⓘ Filth (2013 film) ⓘ
linked to:
Filth
Game of Thrones (TV series) ⓘ
linked to:
Game of Thrones
The Mandalorian (TV series) ⓘ
linked to:
The Mandalorian
The New Mutants (2020 film) ⓘ
linked to:
New Mutants
True Blood (TV series) ⓘ
linked to:
True Blood
Wonder Woman (2017 film) ⓘ
linked to:
Wonder Woman
|
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: Matthew Jensen Description of subject: Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.