Triple
T31621662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvelertak (touring drummer) |
E806911
|
entity |
| Predicate | filledByMusician |
P172027
|
FINISHED |
| Object | Jay Weinberg |
—
|
NE NERFINISHED |
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: Jay Weinberg | Statement: [Kvelertak (touring drummer), filledByMusician, Jay Weinberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filledByMusician Context triple: [Kvelertak (touring drummer), filledByMusician, Jay Weinberg]
-
A.
employedMusician
Indicates that a musician is employed, typically by an organization, venue, or individual, to perform musical work.
-
B.
hasBackingMusician
Indicates that one entity serves as a supporting or accompanying musician for another entity, typically in a performance or recording context.
-
C.
creditedMusician
Indicates that a musician is formally acknowledged as having contributed to a particular musical work or recording.
-
D.
associatedInstrumentalist
Indicates that an instrumentalist is connected to or involved with another entity, such as a work, performance, or recording, in a relevant musical role.
-
E.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:41 p.m.