Triple
T458041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Caribbean people |
E7274
|
entity |
| Predicate | associatedMusicGenre |
P5149
|
FINISHED |
| Object | reggae |
—
|
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: reggae | Statement: [Afro-Caribbean people, associatedMusicGenre, reggae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMusicGenre Context triple: [Afro-Caribbean people, associatedMusicGenre, reggae]
-
A.
associatedMusic
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
B.
knownForMusicGenre
chosen
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
C.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
D.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
E.
genreDiversity
Indicates the extent to which an entity involves, includes, or spans multiple distinct genres rather than being confined to a single 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa3163081909acff040a22bd559 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.