Triple
T18186919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shady Grove |
E435437
|
entity |
| Predicate | hasSubgenreAssociation |
P127457
|
FINISHED |
| Object | bluegrass |
—
|
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: bluegrass | Statement: [Shady Grove, hasSubgenreAssociation, bluegrass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubgenreAssociation Context triple: [Shady Grove, hasSubgenreAssociation, bluegrass]
-
A.
isAssociatedWithSubgenre
chosen
Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
-
B.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
C.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
D.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
E.
hasRockSubgenre
Indicates a relationship where one musical style is classified as a subgenre within the broader category of rock music.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffe9e8081909c6bff40bbd279d2 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.