Triple
T17184592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passing Complexion (live) |
E417071
|
entity |
| Predicate | hasDrumMachine |
P88707
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Passing Complexion (live), hasDrumMachine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrumMachine Context triple: [Passing Complexion (live), hasDrumMachine, true]
-
A.
hasDrumProgrammingBy
Indicates that the drum programming for a work (such as a song or track) is created or performed by a specified entity.
-
B.
featuresDrumMachine
chosen
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
-
C.
hasDrummer
Indicates that one entity serves as the drummer for, or plays drums in, another entity such as a band or musical group.
-
D.
hasDrumIntro
Indicates that a musical piece begins with an introductory section primarily featuring drums.
-
E.
hasDrumBreakSample
Indicates that one audio track or piece of music contains a sampled drum break taken from another recording.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.