Triple

T6769399
Position Surface form Disambiguated ID Type / Status
Subject La Musique E155004 entity
Predicate titleTranslation P38 FINISHED
Object The Music E155004 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: The Music | Statement: [La Musique, titleTranslation, The Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Music
Context triple: [La Musique, titleTranslation, The Music]
  • A. What A Music
    What A Music is a record label founded and run by French DJ and producer David Guetta, primarily focused on electronic dance music releases.
  • B. La Musique chosen
    La Musique is a 1910 oil painting by Henri Matisse that depicts a group of figures engaged with music in a bold, simplified, and vividly colored Fauvist style.
  • C. La Musica
    La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
  • D. De Música
    De Música is a renowned abstract sculpture by Spanish Basque artist Eduardo Chillida, celebrated for its exploration of space, form, and rhythm reminiscent of musical composition.
  • E. The Musician
    The Musician is a fictional storyteller and performer who appears as one of the diverse narrators gathered at the inn in Henry Wadsworth Longfellow’s "Tales of a Wayside Inn."
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d232d1f08190bc30c0f24f28c475 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:12 p.m.