Triple
T34290274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar: Live in Los Angeles |
E879867
|
entity |
| Predicate | featuresGenreArtist |
P198727
|
FINISHED |
| Object | reggaeton star Don Omar |
E249441
|
NE 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 star Don Omar | Statement: [Don Omar: Live in Los Angeles, featuresGenreArtist, reggaeton star Don Omar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGenreArtist Context triple: [Don Omar: Live in Los Angeles, featuresGenreArtist, reggaeton star Don Omar]
-
A.
featuresArtistFromGenre
chosen
Indicates that an entity includes or highlights an artist whose work belongs to a specified musical or artistic genre.
-
B.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
bandGenreOfArtist
Indicates that a particular musical genre is associated with, or characterizes the style of, a given band or musical artist.
-
D.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
E.
genreOfArtistFollowed
Indicates that the specified genre is associated with an artist whom the user follows.
- F. None of above.
Provenance (4 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36e631eb688190a9bc2fd755bcfc2e |
completed | June 20, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:57 a.m.