linkedToFilmStar
P107322
predicate
Indicates that one entity has a direct connection or association with a film star.
All labels observed (4)
| Label | Occurrences |
|---|---|
| associatedCelebrity | 2 |
| associatedWithFilmStar | 2 |
| filmStarAssociated | 2 |
| linkedToFilmStar canonical | 2 |
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: linkedToFilmStar
Generated description
Indicates that one entity has a direct connection or association with a film star.
Sample triples (8)
| Subject | Object |
|---|---|
| The Private Lives of Elizabeth and Essex (film score) | Bette Davis ⓘ |
| The Private Lives of Elizabeth and Essex (film score) | Errol Flynn ⓘ |
| Que Sera, Sera (Whatever Will Be, Will Be) | James Stewart via predicate surface "filmStarAssociated" NERFINISHED ⓘ |
| Que Sera, Sera (Whatever Will Be, Will Be) | Doris Day via predicate surface "filmStarAssociated" NERFINISHED ⓘ |
| You’ve Got That Look | James Stewart via predicate surface "associatedWithFilmStar" NERFINISHED ⓘ |
| You’ve Got That Look | Marlene Dietrich via predicate surface "associatedWithFilmStar" NERFINISHED ⓘ |
| Passion by Elizabeth Taylor | Elizabeth Taylor via predicate surface "associatedCelebrity" NERFINISHED ⓘ |
| White Diamonds by Elizabeth Taylor | Elizabeth Taylor via predicate surface "associatedCelebrity" NERFINISHED ⓘ |