Triple
T13747200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cudi Montage |
E330242
|
entity |
| Predicate | usesVocalSampling |
P50832
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cudi Montage, usesVocalSampling, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVocalSampling Context triple: [Cudi Montage, usesVocalSampling, yes]
-
A.
containsVocalSamplesFrom
chosen
Indicates that one audio work includes vocal samples that originate from another audio work.
-
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.
usesVocalOverdubbing
Indicates that one entity applies vocal overdubbing to another entity, layering additional recorded vocals over an existing audio track.
-
D.
hasVocalForces
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
E.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.