Triple
T1399805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iyaric |
E30752
|
entity |
| Predicate | associatedWithMusicGenre |
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: [Iyaric, associatedWithMusicGenre, reggae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMusicGenre Context triple: [Iyaric, associatedWithMusicGenre, reggae]
-
A.
knownForMusicGenre
chosen
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
B.
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.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
E.
albumGenre
Indicates that a musical album belongs to or is categorized under 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39c4c148190997150996ca26a99 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.