academyAwardsContext
P110302
predicate
Indicates the relationship between an entity and its context or details specifically related to the Academy Awards (e.g., nominations, wins, categories, or years).
All labels observed (2)
| Label | Occurrences |
|---|---|
| academyAwardsContext canonical | 2 |
| filmAwardContext | 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: academyAwardsContext
Generated description
Indicates the relationship between an entity and its context or details specifically related to the Academy Awards (e.g., nominations, wins, categories, or years).
Sample triples (3)
| Subject | Object |
|---|---|
| Nicole Kidman as Sue Brierley | part of Lion’s Best Picture–nominated ensemble ⓘ |
| Raymond Massey as Adam Trask | part of an Academy Award–winning film performance (Jo Van Fleet, Best Supporting Actress) via predicate surface "filmAwardContext" ⓘ |
| Bette Davis as Leslie Crosbie | The Letter (1940) received multiple Academy Award nominations NERFINISHED ⓘ |