Passion Crimes
E614612
Passion Crimes is a crime drama film associated with Kimber Lynn Eastwood, known for its focus on intense emotional motives behind criminal acts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Passion Crimes canonical | 1 |
Statements (13)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
person ⓘ |
| associatedWith | Kimber Lynn Eastwood NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| genre | crime drama ⓘ |
| hasTheme |
crimes of passion
ⓘ
intense emotional motives behind criminal acts ⓘ |
| language | English ⓘ |
| narrativeFocus |
emotional conflict leading to criminal behavior
ⓘ
psychological aspects of crime ⓘ |
| occupation |
film industry professional
ⓘ
film producer ⓘ |
| title | Passion Crimes 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: Passion Crimes Description of subject: Passion Crimes is a crime drama film associated with Kimber Lynn Eastwood, known for its focus on intense emotional motives behind criminal acts.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.