Triple

T35922123
Position Surface form Disambiguated ID Type / Status
Subject 1944 Academy Awards E1038913 entity
Predicate bestOriginalScoreDramaticOrComedyComposer P12612 FINISHED
Object Alfred Newman 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: Alfred Newman | Statement: [1944 Academy Awards, bestOriginalScoreDramaticOrComedyComposer, Alfred Newman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestOriginalScoreDramaticOrComedyComposer
Context triple: [1944 Academy Awards, bestOriginalScoreDramaticOrComedyComposer, Alfred Newman]
  • A. bestOriginalSongComposer
    Indicates that the subject is the composer who created the song that won the award for Best Original Song.
  • B. bestOriginalSongPerformer
    Indicates that the subject is the performer of the work that won the award for Best Original Song.
  • C. bestOriginalDramaticScoreNominee
    Indicates that an entity was nominated for an award recognizing the best original dramatic musical score.
  • D. bestOriginalSongWinner
    Indicates that the subject is the work (typically a song or film) that won the award for Best Original Song in a given context or ceremony.
  • E. academyAwardForBestMusicScoringOfADramaticOrComedyPicture chosen
    Indicates that an entity received the Academy Award for Best Music Scoring of a Dramatic or Comedy Picture for a particular film.
  • 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_69f76e2320748190b7f5c4750d0cd0d3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2c771108190adeec151daad5dab completed May 3, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:07 p.m.