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