Rasmus Videbæk
E683366
Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Rasmus Videbæk canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T7714676 — 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: Rasmus Videbæk Context triple: [The Dark Tower (2017 film), cinematographyBy, Rasmus Videbæk]
-
A.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
-
B.
Kristian Høgsberg
Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
-
C.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
D.
Mikkel Svane
Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
-
E.
Peter Høj
Peter Høj is an Australian academic and university leader who has served as vice-chancellor at several major universities, including the University of Adelaide.
- 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: Rasmus Videbæk Target entity description: Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
-
A.
Rasmus Christensen
Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
-
B.
Kristian Høgsberg
Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
-
C.
Markus Rygaard
Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
-
D.
Mikkel Svane
Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
-
E.
Peter Høj
Peter Høj is an Australian academic and university leader who has served as vice-chancellor at several major universities, including the University of Adelaide.
- F. None of above. chosen
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
cinematographer
ⓘ
person ⓘ |
| basedOnWorkOf | Stephen King ⓘ |
| countryOfCitizenship | Denmark ⓘ |
| fieldOfWork | cinematography ⓘ |
| genre |
feature films
ⓘ
television series ⓘ |
| hasGender | male ⓘ |
| knownFor |
work on international films
ⓘ
work on international television productions ⓘ |
| languageOfWorkOrName | Danish ⓘ |
| notableWork | The Dark Tower (2017 film) ⓘ |
| occupation | cinematographer ⓘ |
| workedOn | The Dark Tower (2017 film) ⓘ |
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: Rasmus Videbæk Description of subject: Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.