Triple
T16943456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint Anthony of Padua |
E411004
|
entity |
| Predicate | musicGenreUsed |
P33180
|
FINISHED |
| Object | Italian 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: Italian popular music | Statement: [Feast of Saint Anthony of Padua, musicGenreUsed, Italian popular music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreUsed Context triple: [Feast of Saint Anthony of Padua, musicGenreUsed, Italian popular music]
-
A.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
B.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
C.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
-
D.
musicGenrePreferred
Indicates that an entity has a liking for or favors a particular music genre over others.
-
E.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfafc8448190a25be8ada84eff9c |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.