Triple
T27050552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Hear Music |
E684756
|
entity |
| Predicate | isFrequentlyInterpretedInGenre |
P162034
|
FINISHED |
| Object | bebop |
—
|
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: bebop | Statement: [I Hear Music, isFrequentlyInterpretedInGenre, bebop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyInterpretedInGenre Context triple: [I Hear Music, isFrequentlyInterpretedInGenre, bebop]
-
A.
isFrequentlyInterpretedInGenre
chosen
Indicates that something is often understood, analyzed, or framed within a particular genre.
-
B.
frequentlyInterpretedBy
Indicates that an entity is often or regularly interpreted, explained, or given meaning by a particular agent or group.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
E.
isAssociatedWithSubgenre
Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:13 a.m.