Triple
T29241176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Rats |
E741319
|
entity |
| Predicate | vocalTrack |
P25705
|
FINISHED |
| Object | Willie the Pimp |
—
|
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: Willie the Pimp | Statement: [Hot Rats, vocalTrack, Willie the Pimp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalTrack Context triple: [Hot Rats, vocalTrack, Willie the Pimp]
-
A.
vocal
Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
-
B.
usesMultiTrackVocals
Indicates that the subject employs multiple separately recorded vocal tracks layered together in the audio or performance.
-
C.
vocalTraining
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
-
D.
hasVocals
chosen
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
E.
vocalArrangement
Indicates the specific way vocal parts or voices are organized, structured, and combined within a musical work or performance.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 12:31 p.m.