Triple

T22454233
Position Surface form Disambiguated ID Type / Status
Subject Toni Trucks E555070 entity
Predicate notableWork P4 FINISHED
Object Music and Lyrics 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: Music and Lyrics | Statement: [Toni Trucks, notableWork, Music and Lyrics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Music and Lyrics
Context triple: [Toni Trucks, notableWork, 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 short radio play by Samuel Beckett that explores the relationship between language and musical expression through two personified characters.
  • C. 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.
  • D. Words and Music
    Words and Music is a track from the Bee Gees’ 1977 debut solo album by Barry Gibb, "Flowing Rivers."
  • E. Words and Music
    Words and Music is a studio album by Australian singer-songwriter Paul Kelly that showcases his storytelling-driven rock and folk songwriting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.