Triple
T22166040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Grammy Award for Best Salsa Album |
E547789
|
entity |
| Predicate | hasMusicIndustrySector |
P111431
|
FINISHED |
| Object | Latin recording industry |
—
|
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: Latin recording industry | Statement: [Latin Grammy Award for Best Salsa Album, hasMusicIndustrySector, Latin recording industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicIndustrySector Context triple: [Latin Grammy Award for Best Salsa Album, hasMusicIndustrySector, Latin recording industry]
-
A.
hasRecordIndustry
chosen
Indicates that an entity is associated with or operates within the record (music) industry.
-
B.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
C.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
D.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
E.
recordIndustryCategory
Indicates the industry classification or sector under which an entity’s business activities are recorded.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a314cc081908857c13d018d52b2 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.