Triple
T37388416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Nagano |
E928634
|
entity |
| Predicate | specializesInComposer |
P166598
|
FINISHED |
| Object | Olivier Messiaen |
—
|
NE NERFINISHED |
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: Olivier Messiaen | Statement: [Kent Nagano, specializesInComposer, Olivier Messiaen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specializesInComposer Context triple: [Kent Nagano, specializesInComposer, Olivier Messiaen]
-
A.
dedicatedComposer
Indicates that one entity is a composer who is devoted or committed specifically to another entity or purpose.
-
B.
possibleComposer
Indicates that an entity is a candidate or hypothesized creator/composer of another entity, without asserting this authorship as certain.
-
C.
focusesOnComposer
chosen
Indicates that something (such as a work, study, or discussion) is primarily concerned with or centered around a particular composer.
-
D.
employedComposer
Indicates that one entity (such as a person or organization) employs another entity in the role of a composer.
-
E.
dedicatedComposerOfVariations
Indicates that one entity is the composer specifically responsible for creating a set of musical variations associated with another entity.
- F. None of above.
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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:16 p.m.