Triple
T18907266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tierra del Tequila y el Mariachi |
E462494
|
entity |
| Predicate | relatedMusicGenre |
P38924
|
FINISHED |
| Object | Mariachi tradicional |
—
|
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: Mariachi tradicional | Statement: [La Tierra del Tequila y el Mariachi, relatedMusicGenre, Mariachi tradicional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedMusicGenre Context triple: [La Tierra del Tequila y el Mariachi, relatedMusicGenre, Mariachi tradicional]
-
A.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
B.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
C.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
D.
genreAssociatedWith
chosen
Indicates a relationship where a work, item, or entity is linked to or categorized under 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52dcb948190a5b6a783512bf7d6 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.