Pål Røed
E866538
Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pål Røed canonical | 1 |
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
film producer ⓘ novel ⓘ person ⓘ |
| author | Jo Nesbø NERFINISHED ⓘ |
| basedOn | The Snowman (novel) NERFINISHED ⓘ |
| countryOfCitizenship | Norway ⓘ |
| countryOfOrigin |
Norway
ⓘ
United Kingdom ⓘ United States of America ⓘ
surface form:
United States
|
| fieldOfWork | film production ⓘ |
| genre | crime thriller film ⓘ |
| knownFor | international film productions ⓘ |
| nationality | Norwegian ⓘ |
| notableWork | The Snowman NERFINISHED ⓘ |
| occupation | film producer ⓘ |
| publicationDate | 2017 ⓘ |
| roleInWork | producer of The Snowman ⓘ |
| workedOn | The Snowman 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: Pål Røed Description of subject: Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.