Matt Luber
E525612
Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Matt Luber canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4709938 — 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: Matt Luber Context triple: [Into the Blue, producer, Matt Luber]
-
A.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Matt Lattanzi
Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
-
D.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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: Matt Luber Target entity description: Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
-
A.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Matt Lattanzi
Matt Lattanzi is an American actor and former dancer best known for his roles in 1980s films and for his marriage to singer and actress Olivia Newton-John.
-
D.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
film producer ⓘ |
| genre | action-thriller film ⓘ |
| genreSpecialty | action-thriller films ⓘ |
| notableWork | Into the Blue NERFINISHED ⓘ |
| occupation | film producer ⓘ |
| producer | Matt Luber NERFINISHED ⓘ |
| workedOn | Into the Blue NERFINISHED ⓘ |
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: Matt Luber Description of subject: Matt Luber is a film producer best known for his work on the action-thriller movie "Into the Blue."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.