Triple

T9872997
Position Surface form Disambiguated ID Type / Status
Subject Brad Garrett E240002 entity
Predicate notableFilmWork P26606 FINISHED
Object Music and Lyrics E190446 NE 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: Music and Lyrics | Statement: [Brad Garrett, notableFilmWork, Music and Lyrics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Music and Lyrics
Context triple: [Brad Garrett, notableFilmWork, Music and Lyrics]
  • A. Music and Lyrics chosen
    Music and Lyrics is a 2007 romantic comedy film about a washed-up pop singer who teams up with an aspiring writer to compose a hit song, starring Hugh Grant and Drew Barrymore.
  • B. Words and Music
    Words and Music is a 1948 American musical film that dramatizes the partnership and songs of famed Broadway songwriting duo Richard Rodgers and Lorenz Hart.
  • C. Lyrics
    Lyrics is a contemporary R&B album by American singer Donell Jones, showcasing his smooth vocals and soulful, romantic songwriting.
  • D. Letters and Music
    Letters and Music is a Philippine television program aired on Net 25 that features live musical performances, artist interviews, and entertainment segments.
  • E. Music
    Music is Apple's media player and library application for macOS that organizes, plays, and manages music and other audio content, including access to Apple Music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f754008190abe3fe034b42908e completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.