Triple
T32770364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chante Moore – Straight Up |
E838038
|
entity |
| Predicate | featuresSmoothVocals |
P203205
|
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: [Chante Moore – Straight Up, featuresSmoothVocals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSmoothVocals Context triple: [Chante Moore – Straight Up, featuresSmoothVocals, true]
-
A.
featuresVocal
Indicates that one entity includes or presents the vocal performance or voice of another entity.
-
B.
featuresVocoder
Indicates that one entity includes or provides a vocoder as a functional component or feature of another entity.
-
C.
featuresVocalImprovisation
Indicates that the action or event includes or showcases spontaneous, unscripted vocal performance or embellishment.
-
D.
featuresVocalHarmonyBy
Indicates that the subject work includes vocal harmony performances contributed by the specified artist or group.
-
E.
hasVocalProcessing
Indicates that an entity’s vocal audio has been altered or enhanced through some form of signal processing.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_6a013b7808f08190979d68007e1882c6 |
completed | May 11, 2026, 2:14 a.m. |
Created at: May 1, 2026, 1:13 a.m.