Triple
T5784310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Salsa Album |
E128231
|
entity |
| Predicate | musicGenreScope |
P34398
|
FINISHED |
| Object | tropical music subgenre |
—
|
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: tropical music subgenre | Statement: [Best Salsa Album, musicGenreScope, tropical music subgenre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreScope Context triple: [Best Salsa Album, musicGenreScope, tropical music subgenre]
-
A.
musicGenreBroad
chosen
Indicates that one music genre is a broader, more general category that encompasses another, more specific music genre.
-
B.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
C.
genreRestriction
Indicates that there is a limitation or constraint on which genres are allowed or applicable in a given context.
-
D.
musicForGenre
Indicates that something (such as a piece, track, or work) is intended to be used as or associated with music belonging to a particular genre.
-
E.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a19870c819084dc68b36b0cdd60 |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.