Triple

T19915133
Position Surface form Disambiguated ID Type / Status
Subject Become Desert E478645 entity
Predicate composer P1361 FINISHED
Object John Luther Adams 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: John Luther Adams | Statement: [Become Desert, composer, John Luther Adams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Luther Adams
Context triple: [Become Desert, composer, John Luther Adams]
  • A. John Luther Adams chosen
    John Luther Adams is an American composer renowned for his nature-inspired, environmentally focused works that often evoke the landscapes and soundscapes of Alaska.
  • B. Aaron Jay Kernis
    Aaron Jay Kernis is a Pulitzer Prize–winning American composer known for his vividly expressive, stylistically diverse orchestral and chamber works.
  • C. Christopher Rouse
    Christopher Rouse is an American film editor known for his work on high-octane action movies, including several entries in the Bourne franchise.
  • D. Christopher Rouse
    Christopher Rouse was an American composer renowned for his emotionally intense, rhythmically driven orchestral works and his influential role as a composition teacher.
  • E. David Lang
    David Lang is a Pulitzer Prize–winning American contemporary classical composer known for his innovative, minimalist-influenced works and frequent collaborations with film and theater.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6599394f081909246006c2e83bacc completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.