Triple

T8675217
Position Surface form Disambiguated ID Type / Status
Subject Ned Rorem E205895 entity
Predicate notableAwardWork P17579 FINISHED
Object Air Music E750354 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: Air Music | Statement: [Ned Rorem, notableAwardWork, Air Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Music
Context triple: [Ned Rorem, notableAwardWork, Air Music]
  • A. Air Music chosen
    Air Music is a classical composition by American composer Ned Rorem, recognized as one of his significant works.
  • B. Music in the Air
    Music in the Air is a 1932 Broadway musical with music by Jerome Kern and lyrics and book by Oscar Hammerstein II, known for its romantic plot set in Bavaria and songs like "The Song Is You."
  • C. Music for Airports
    Music for Airports is a pioneering ambient album by Brian Eno that helped define the genre with its serene, minimalist soundscapes designed to subtly shape the atmosphere of public spaces.
  • D. Aura Music
    Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
  • E. Soundgasm
    Soundgasm is a popular Afrobeats song by Nigerian artist Rema, known for its sensual lyrics and smooth, melodic production.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f54dfc8190b7a61e7ed1cfcbeb completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28748c0c8190a8870650a9b07d7d completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.