Triple
T9174158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osorio Balvín |
E220152
|
entity |
| Predicate | associatedWithGenreOfBearer |
P38924
|
FINISHED |
| Object | reggaeton |
—
|
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: reggaeton | Statement: [Osorio Balvín, associatedWithGenreOfBearer, reggaeton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGenreOfBearer Context triple: [Osorio Balvín, associatedWithGenreOfBearer, reggaeton]
-
A.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
B.
supportedGenre
Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
-
C.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
D.
hasGenreScope
Indicates that something (such as a work, collection, or classification) is limited to, defined by, or applicable within a particular genre or set of genres.
-
E.
genreAssociatedWith
chosen
Indicates a relationship where a work, item, or entity is linked to or 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.