Triple
T22537015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Red |
E557181
|
entity |
| Predicate | hasDrumBreakSampledBy |
P124830
|
FINISHED |
| Object | numerous hip hop producers |
—
|
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: numerous hip hop producers | Statement: [Long Red, hasDrumBreakSampledBy, numerous hip hop producers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrumBreakSampledBy Context triple: [Long Red, hasDrumBreakSampledBy, numerous hip hop producers]
-
A.
hasDrumBreakSample
chosen
Indicates that one audio track or piece of music contains a sampled drum break taken from another recording.
-
B.
hasNotableDrumBreak
Indicates that a musical work contains a drum segment that is particularly prominent, distinctive, or widely recognized.
-
C.
hasDrumSolo
Indicates that a musical performance, track, or section contains a featured solo passage played on drums.
-
D.
hasDrumProgrammingBy
Indicates that the drum programming for a work (such as a song or track) is created or performed by a specified entity.
-
E.
hasDrumIntro
Indicates that a musical piece begins with an introductory section primarily featuring drums.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.