Triple

T3202467
Position Surface form Disambiguated ID Type / Status
Subject The Arrangement E67081 entity
Predicate musicBy P1952 FINISHED
Object David Amram E335077 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: David Amram | Statement: [The Arrangement, musicBy, David Amram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Amram
Context triple: [The Arrangement, musicBy, David Amram]
  • A. David Amram chosen
    David Amram is an American composer, conductor, and multi-instrumentalist known for his film scores, jazz collaborations, and contributions to classical and world music.
  • B. Neal Hefti
    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.
  • C. Marvin Hamlisch
    Marvin Hamlisch was an American composer and conductor renowned for his award-winning work in film, theater, and popular music, including multiple Oscars, Grammys, and a Pulitzer Prize.
  • D. 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.
  • E. Leonard Rosenman
    Leonard Rosenman was an American composer best known for his innovative, modernist film and television scores in the 1950s and beyond.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2621d3bcc8190abf84310bc118757 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.