Triple
T23214123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Julie |
E580683
|
entity |
| Predicate | hasPerformerAssociatedGenre |
P63466
|
FINISHED |
| Object | rock and roll |
—
|
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 and roll | Statement: [Oh Julie, hasPerformerAssociatedGenre, rock and roll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerAssociatedGenre Context triple: [Oh Julie, hasPerformerAssociatedGenre, rock and roll]
-
A.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
B.
hasArtistGenre
chosen
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
C.
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.
-
D.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
E.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19163b9b88190a68fa6d08d37bdb7 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.