Triple

T11540647
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty 2 E273664 entity
Predicate composer P1361 FINISHED
Object Michael Giacchino E135518 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: Michael Giacchino | Statement: [Call of Duty 2, composer, Michael Giacchino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Giacchino
Context triple: [Call of Duty 2, composer, Michael Giacchino]
  • A. Michael Giacchino chosen
    Michael Giacchino is an American composer renowned for his award-winning scores for films, television, and video games, including major franchises like Pixar, Marvel, and Star Trek.
  • B. James Newton Howard
    James Newton Howard is an acclaimed American composer best known for his prolific film and television scores across a wide range of genres.
  • C. Rupert Gregson-Williams
    Rupert Gregson-Williams is a British film and television composer known for scoring major Hollywood productions such as "Wonder Woman," "Aquaman," and "The Crown."
  • D. Michael Abels
    Michael Abels is an American composer best known for his innovative, genre-blending film scores for Jordan Peele’s movies, including Get Out, Us, and Nope.
  • E. 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."
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886deed5c81908e5c38156064f882 completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7fe305c8190bbf981b2c0e63983 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.