Triple
T17424812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gareth Ainsworth |
E423710
|
entity |
| Predicate | genreOfMusicPerformed |
P126748
|
FINISHED |
| Object | rock |
—
|
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: rock | Statement: [Gareth Ainsworth, genreOfMusicPerformed, rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfMusicPerformed Context triple: [Gareth Ainsworth, genreOfMusicPerformed, rock]
-
A.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
genreOfPerson
chosen
Indicates that a person is associated with or specializes in a particular genre (such as a style, category, or type of creative work).
-
D.
genreTaught
Indicates that an agent teaches or provides instruction in a particular genre.
-
E.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4423999ac81909fdbd8bcffcb30c9 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.