Triple
T30057091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evolver |
E763759
|
entity |
| Predicate | hasVocalHarmonies |
P83531
|
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: [Evolver, hasVocalHarmonies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocalHarmonies Context triple: [Evolver, hasVocalHarmonies, true]
-
A.
containsVocalHarmonies
chosen
Indicates that the subject includes multiple vocal parts sung together in harmony.
-
B.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
C.
hasAdditionalVocalElements
Indicates that an entity includes extra vocal components or embellishments beyond its primary or standard vocal parts.
-
D.
hasBackingVocals
Indicates that one musical performance, track, or part includes supporting vocal contributions accompanying a primary vocal line.
-
E.
hasBackwardVocals
Indicates that the subject uses or contains backward (reversed) vocal audio in relation to the object.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 6:56 p.m.