Triple
T31288302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daddy Pop |
E797863
|
entity |
| Predicate | hasBackingBandRole |
P185655
|
FINISHED |
| Object | The New Power Generation as rhythm section |
—
|
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: The New Power Generation as rhythm section | Statement: [Daddy Pop, hasBackingBandRole, The New Power Generation as rhythm section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackingBandRole Context triple: [Daddy Pop, hasBackingBandRole, The New Power Generation as rhythm section]
-
A.
hasBackingBand
Indicates that an artist or performer is supported musically by a specific band that plays instruments or accompaniment for them.
-
B.
hasBackingBandMembers
Indicates that a musical act or performer is associated with specific individuals who serve as members of their backing band.
-
C.
hasRoleInBand
Indicates that an entity holds a specific role or position within a band.
-
D.
playedWithBandFrom
Indicates that an individual has performed as a member or guest with a musical band originating from a specified place or organization.
-
E.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: April 29, 2026, 9:14 p.m.