Peter Roeck
E189351
Peter Roeck is a film editor known for his work on the movie "The Take."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peter Roeck canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1522141 — 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: Peter Roeck Context triple: [The Take, editedBy, Peter Roeck]
-
A.
Thomas Rongen
Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
-
B.
Leo Geurts
Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
-
C.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
D.
Johannes Kleiman
Johannes Kleiman was a Dutch office manager and resistance helper who assisted in hiding Anne Frank and her family during the Nazi occupation of the Netherlands.
-
E.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
- 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: Peter Roeck Target entity description: Peter Roeck is a film editor known for his work on the movie "The Take."
-
A.
Thomas Rongen
Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
-
B.
Leo Geurts
Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
-
C.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
D.
Johannes Kleiman
Johannes Kleiman was a Dutch office manager and resistance helper who assisted in hiding Anne Frank and her family during the Nazi occupation of the Netherlands.
-
E.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
- F. None of above. chosen
Statements (5)
| Predicate | Object |
|---|---|
| instanceOf | film editor ⓘ |
| hasEditor | Peter Roeck ⓘ |
| knownFor | The Take ⓘ |
| occupation | film editor ⓘ |
| workedOn | The Take ⓘ |
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: Peter Roeck Description of subject: Peter Roeck is a film editor known for his work on the movie "The Take."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
documentary film "The Take"
subject linked to:
Peter Roeck