Triple
T5273571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wind and the Lion (1975 film score) |
E119318
|
entity |
| Predicate | hasComposerStyleTrait |
P53017
|
FINISHED |
| Object | complex rhythms |
—
|
LITERAL 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: complex rhythms | Statement: [The Wind and the Lion (1975 film score), hasComposerStyleTrait, complex rhythms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerStyleTrait Context triple: [The Wind and the Lion (1975 film score), hasComposerStyleTrait, complex rhythms]
-
A.
hasComposerInResidence
Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
-
B.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
hasSignatureTrait
Indicates that an entity possesses a defining or characteristic trait that is especially distinctive or representative of it.
-
D.
composerStyle
chosen
Indicates that one entity is a composer and the other represents the musical style or genre characteristic of that composer's work.
-
E.
hasSubstyle
Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.