Triple

T9866084
Position Surface form Disambiguated ID Type / Status
Subject Neal Hefti E239835 entity
Predicate name P16 FINISHED
Object Neal Hefti E239835 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: Neal Hefti | Statement: [Neal Hefti, name, Neal Hefti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neal Hefti
Context triple: [Neal Hefti, name, Neal Hefti]
  • A. Neal Hefti chosen
    Neal Hefti was an American jazz trumpeter, composer, and arranger best known for his big band work and iconic television and film scores, including the theme for the 1960s Batman series.
  • B. Joe Mardin
    Joe Mardin is an American music producer, arranger, and engineer known for his work across pop, R&B, and jazz, and as the son of legendary producer Arif Mardin.
  • C. Leonard Rosenman
    Leonard Rosenman was an American composer best known for his innovative, modernist film and television scores in the 1950s and beyond.
  • D. David Rose
    David Rose was a British-born American composer, arranger, and orchestra leader best known for his work in radio, television, and film music.
  • E. Al Cohn
    Al Cohn was an American jazz tenor saxophonist, arranger, and composer known for his cool-toned style and influential work in the post–World War II jazz scene.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d091e48190b10463562d0dc461 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281b9254c81908d5acbdb42196ab1 completed April 5, 2026, 3:37 p.m.
Created at: March 30, 2026, 8:36 p.m.