occupationInFilm
P114816
predicate
Indicates that an entity has a specific occupation or role within the context of a particular film.
All labels observed (4)
| Label | Occurrences |
|---|---|
| occupationInFilm canonical | 6 |
| filmCharacterOccupation | 2 |
| professionInFilm | 2 |
| hasActorOccupation | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: occupationInFilm
Generated description
Indicates that an entity has a specific occupation or role within the context of a particular film.
Sample triples (11)
| Subject | Object |
|---|---|
| Semmi | employee at McDowell's ⓘ |
| John Anderton | chief of Precrime (Washington, D.C.) via predicate surface "filmCharacterOccupation" ⓘ |
| Nicole Kidman as Dr. Chase Meridian | psychologist via predicate surface "professionInFilm" ⓘ |
|
Clara McMillen (Kinsey)
linked to:
Clara McMillen in Kinsey
|
research collaborator ⓘ |
|
Clara McMillen (Kinsey)
linked to:
Clara McMillen in Kinsey
|
teacher ⓘ |
| "Inches" locker room speech | football coach via predicate surface "filmCharacterOccupation" ⓘ |
| Juror 8 | architect via predicate surface "professionInFilm" ⓘ |
| Wilson Joel | web designer ⓘ |
| Chip Shreck | henchman for Max Shreck ⓘ |
| Miri Linky | barista ⓘ |
| The Phantom Thunderbolt | Ken Maynard: cowboy actor via predicate surface "hasActorOccupation" ⓘ |