Triple

T35336808
Position Surface form Disambiguated ID Type / Status
Subject Engagement Party E1020479 entity
Predicate composerOfScoreWon P73785 FINISHED
Object Academy Award for Best Original Score NE NERFINISHED

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: Academy Award for Best Original Score | Statement: [Engagement Party, composerOfScoreWon, Academy Award for Best Original Score]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: composerOfScoreWon
Context triple: [Engagement Party, composerOfScoreWon, Academy Award for Best Original Score]
  • A. winnerComposer chosen
    Indicates that the subject is the composer who won a particular contest, award, or competitive event.
  • B. bestScoringOfAMusicalPictureComposer
    Indicates that one composer achieved the highest score or recognition for composing music for a particular film or motion picture, compared to all other composers considered.
  • C. producedComposer
    Indicates that one entity served as the producer for a musical work created or composed by another entity.
  • D. filmScoreCompiledBy
    Indicates that the musical score of a film was assembled, arranged, or compiled by a particular person or entity.
  • E. alternateScoreComposer
    Indicates that an entity serves as an alternative or secondary composer associated with a given score.
  • 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_69f76debb4e08190be52d89b8af2392d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
Created at: May 3, 2026, 4:03 p.m.