Triple
T36939332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar: The Ultimate Collection Vol. 10 |
E913708
|
entity |
| Predicate | musicalGenreCategory |
P164195
|
FINISHED |
| Object | Latin music |
—
|
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 music | Statement: [Don Omar: The Ultimate Collection Vol. 10, musicalGenreCategory, Latin music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalGenreCategory Context triple: [Don Omar: The Ultimate Collection Vol. 10, musicalGenreCategory, Latin music]
-
A.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
B.
genreOfAssociatedMusic
Indicates the type or category of music that is associated with a given entity.
-
C.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
D.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
E.
genreOfRecordedWork
chosen
Indicates that a recorded work (such as a song, album, or audio piece) belongs to a particular artistic or musical 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.