Triple
T5986588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stay Up! (Viagra) |
E133240
|
entity |
| Predicate | featuresArtistRole |
P24740
|
FINISHED |
| Object | Kanye West as guest rapper |
—
|
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: Kanye West as guest rapper | Statement: [Stay Up! (Viagra), featuresArtistRole, Kanye West as guest rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistRole Context triple: [Stay Up! (Viagra), featuresArtistRole, Kanye West as guest rapper]
-
A.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
B.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
C.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
D.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
E.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.