Triple

T26439914
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actress for Animal Kingdom E665057 entity
Predicate nominatedRoleType P66886 FINISHED
Object female supporting role LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: female supporting role | Statement: [Academy Award for Best Supporting Actress for Animal Kingdom, nominatedRoleType, female supporting role]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nominatedRoleType
Context triple: [Academy Award for Best Supporting Actress for Animal Kingdom, nominatedRoleType, female supporting role]
  • A. hasNomineeRole chosen
    Indicates that an entity serves in or holds a specific nominee role or position in relation to another entity.
  • B. nominatedWorkType
    Indicates the type or category of work for which an entity has been nominated.
  • C. hasNomineeType
    Indicates that an entity has a nominee belonging to a specified type or category.
  • D. nominatedIn
    Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
  • E. nominated
    Indicates that one entity formally proposes or selects another entity for a position, role, award, or recognition.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 26, 2026, 11:57 p.m.