Triple

T14712249
Position Surface form Disambiguated ID Type / Status
Subject The Losers E345576 entity
Predicate composer P1361 FINISHED
Object John Ottman E173407 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: John Ottman | Statement: [The Losers, composer, John Ottman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ottman
Context triple: [The Losers, composer, John Ottman]
  • A. John Ottman chosen
    John Ottman is an American film editor and composer best known for his long-time collaboration with director Bryan Singer on films such as "The Usual Suspects," the "X-Men" series, and "Superman Returns."
  • B. Albert Weinert
    Albert Weinert was a German-American sculptor and monument designer known for his public memorials in the United States.
  • C. Mychael Danna
    Mychael Danna is a Canadian film composer renowned for his evocative, often world-music-infused scores, including his Academy Award–winning work on "Life of Pi."
  • D. Basil Poledouris
    Basil Poledouris was an American composer best known for his powerful, symphonic film scores for movies such as Conan the Barbarian, RoboCop, and The Hunt for Red October.
  • E. Elliot Goldenthal
    Elliot Goldenthal is an American composer known for his innovative, often experimental film scores for movies such as "Interview with the Vampire," "Batman Forever," and "Frida."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe968124d481909dd89dd9282788b7 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:28 a.m.