Triple
T37019571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shake Your Money Maker 30th anniversary tour |
E916178
|
entity |
| Predicate | performedByGenreArtist |
P199450
|
FINISHED |
| Object | American rock band |
—
|
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: American rock band | Statement: [Shake Your Money Maker 30th anniversary tour, performedByGenreArtist, American rock band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedByGenreArtist Context triple: [Shake Your Money Maker 30th anniversary tour, performedByGenreArtist, American rock band]
-
A.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
B.
originalPerformerGenre
Indicates that a performer is originally associated with or primarily known for a particular musical or artistic genre.
-
C.
recordedGenreArtist
Indicates that an artist has recorded music in a particular genre.
-
D.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
E.
hasTargetArtistGenre
Indicates that an entity (such as a campaign, recommendation, or product) is aimed at or associated with a specific music artist genre as its intended target.
- F. None of above. chosen
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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69ff397d6a2081908fa8f62e8902421b |
completed | May 9, 2026, 1:41 p.m. |
Created at: May 3, 2026, 4:14 p.m.