Triple
T31252729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Bowie as Pontius Pilate |
E796872
|
entity |
| Predicate | associatedWithComposerOfFilmScore |
P109630
|
FINISHED |
| Object | Peter Gabriel |
E39063
|
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: Peter Gabriel | Statement: [David Bowie as Pontius Pilate, associatedWithComposerOfFilmScore, Peter Gabriel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithComposerOfFilmScore Context triple: [David Bowie as Pontius Pilate, associatedWithComposerOfFilmScore, Peter Gabriel]
-
A.
associatedWithComposerOfFilm
chosen
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
B.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
C.
soundtrackComposerCollaboratedWith
Indicates that a soundtrack composer worked together with another person or entity in creating or producing a soundtrack.
-
D.
filmScoreCompiledBy
Indicates that the musical score of a film was assembled, arranged, or compiled by a particular person or entity.
-
E.
directorAlsoComposedMusic
Indicates that the person who directed the work also composed its musical score.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a296bf3c0248190955aee2429503155 |
completed | June 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:12 p.m.