Triple
T20036504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultimate Satisfaction |
E497282
|
entity |
| Predicate | albumArtistProfession |
P24742
|
FINISHED |
| Object | 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: rapper | Statement: [Ultimate Satisfaction, albumArtistProfession, rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: albumArtistProfession Context triple: [Ultimate Satisfaction, albumArtistProfession, rapper]
-
A.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
B.
producerArtist
Indicates that one entity serves as the producer (e.g., overseeing or managing the creation) of a work created or performed by the artist entity.
-
C.
recordLabelArtist
Indicates that a musical artist is signed to, represented by, or releases recordings through a particular record label.
-
D.
artistsFrom
Indicates that one or more artists originate from, are associated with, or come from a specified place or region.
-
E.
artistNameCredit
Indicates that a specific artist is credited by name for their contribution to a work or production.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e8573081909f71fda640aa3220 |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.