Triple
T27812769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blacktop Music |
E702563
|
entity |
| Predicate | specializesInGenre |
P21380
|
FINISHED |
| Object | country music |
—
|
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: country music | Statement: [Blacktop Music, specializesInGenre, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specializesInGenre Context triple: [Blacktop Music, specializesInGenre, country music]
-
A.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
B.
knownForGenre
Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
-
C.
servedGenre
Indicates that a service, venue, or provider offers or specializes in a particular genre (such as a style, category, or type of content).
-
D.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
E.
promotesGenre
Indicates that one entity actively supports, advertises, or increases the visibility of a particular genre.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 5:43 p.m.