Triple
T8488516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moxica and the Horse |
E200892
|
entity |
| Predicate | composerOfSoundtrack |
P47024
|
FINISHED |
| Object | Vangelis |
E6338
|
NE FINISHED |
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: Vangelis | Statement: [Moxica and the Horse, composerOfSoundtrack, Vangelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vangelis Context triple: [Moxica and the Horse, composerOfSoundtrack, Vangelis]
-
A.
Vangelis
chosen
Vangelis was a Greek composer and pioneer of electronic and ambient music, renowned for his evocative synthesizer-based film scores such as those for "Chariots of Fire" and "Blade Runner."
-
B.
Jon and Vangelis
Jon and Vangelis was a musical collaboration between Yes vocalist Jon Anderson and Greek composer Vangelis, known for their melodic, synth-driven progressive pop songs in the late 1970s and 1980s.
-
C.
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.
-
D.
John Debney
John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
-
E.
Maurice Jarre
Maurice Jarre was a French composer renowned for his sweeping, Oscar-winning film scores, particularly for epic movies such as "Lawrence of Arabia," "Doctor Zhivago," and "A Passage to India."
- 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: composerOfSoundtrack Context triple: [Moxica and the Horse, composerOfSoundtrack, Vangelis]
-
A.
soundtrackProducer
Indicates that one entity is the producer responsible for creating or overseeing the soundtrack associated with another entity (such as a film, game, or show).
-
B.
composerOfThemeMusic
Indicates that one entity is the person who composed the theme music associated with another entity (such as a show, film, or series).
-
C.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
D.
oscarNomineeComposer
Indicates that a person is a film composer who has been nominated for an Academy Award (Oscar) for their work in film music.
-
E.
hasMusicalComposer
chosen
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
- F. None of above.
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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5581d308190b47d76dd49a36529 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4df197c48190812c5287119e5528 |
completed | April 2, 2026, 11:07 a.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.