Triple
T16847488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky High |
E409581
|
entity |
| Predicate | musicBy |
P1952
|
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: [Sky High, musicBy, Michael Giacchino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Giacchino Context triple: [Sky High, musicBy, 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01481dfcdc8190818456f89c285df4 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:24 a.m.