Triple
T35179263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joana |
E1015801
|
entity |
| Predicate | musicalGenreFamily |
P93135
|
FINISHED |
| Object | African popular 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: African popular music | Statement: [Joana, musicalGenreFamily, African popular music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalGenreFamily Context triple: [Joana, musicalGenreFamily, African popular music]
-
A.
genreAssociatedViaFamily
Indicates that a genre is connected to another entity through a familial or family-based relationship rather than a direct or primary association.
-
B.
musicGenreCategory
chosen
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
C.
genreOfAssociatedMusic
Indicates the type or category of music that is associated with a given entity.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
musicGenreBroad
Indicates that one music genre is a broader, more general category that encompasses another, more specific music 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:02 p.m.