Triple

T18967752
Position Surface form Disambiguated ID Type / Status
Subject Thor: Love and Thunder (2022) film score E464084 entity
Predicate musicDepartmentHead P133984 FINISHED
Object Michael Giacchino NE NERFINISHED

How this triple was built (3 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: [Thor: Love and Thunder (2022) film score, musicDepartmentHead, Michael Giacchino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Giacchino
Context triple: [Thor: Love and Thunder (2022) film score, musicDepartmentHead, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: musicDepartmentHead
Context triple: [Thor: Love and Thunder (2022) film score, musicDepartmentHead, Michael Giacchino]
  • A. soundDepartmentHead
    Indicates that one entity serves as the head or chief person in charge of the sound department for the other entity (such as a film, show, or production).
  • B. headOfSchool
    Indicates that one entity serves as the principal leader or top administrator in charge of a school.
  • C. headOfGovernmentDepartment
    Indicates that one entity serves as the leader or chief official in charge of a particular government department.
  • D. athleticDirectorOf
    Indicates that one entity serves as the athletic director (the chief administrator of athletic programs) for another entity, typically an institution or organization.
  • E. academicHead
    Indicates that one entity serves as the chief academic leader or head of another entity, such as a department, program, or institution.
  • F. None of above. chosen

Provenance (4 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6172888819090a8b3cb1db20496 completed April 20, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69e4a2f437648190b85650dae8885d48 completed April 19, 2026, 9:40 a.m.
PDg Predicate description generation batch_69e4ad8e075c8190ad561edc5e520057 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, noon