Triple
T17299317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slash Dot Dash |
E419995
|
entity |
| Predicate | usesVocoder |
P118709
|
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: [Slash Dot Dash, usesVocoder, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVocoder Context triple: [Slash Dot Dash, usesVocoder, true]
-
A.
hasVocalProcessing
Indicates that an entity’s vocal audio has been altered or enhanced through some form of signal processing.
-
B.
usesVocalSamples
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
C.
featuresVocoder
chosen
Indicates that one entity includes or provides a vocoder as a functional component or feature of another entity.
-
D.
hasVocalForces
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
E.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f8efb481908b56172c7f749b62 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.