Triple
T35847040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Love |
E1036240
|
entity |
| Predicate | vocalEffectUsed |
P110805
|
FINISHED |
| Object | talk box |
—
|
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: talk box | Statement: [California Love, vocalEffectUsed, talk box]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalEffectUsed Context triple: [California Love, vocalEffectUsed, talk box]
-
A.
vocalEffects
Indicates that one entity applies or produces specific modifications, enhancements, or stylistic effects on another entity’s vocal sound or performance.
-
B.
hasHookVocalStyle
Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
-
C.
usesVocalSamples
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
D.
hasVocalProcessing
chosen
Indicates that an entity’s vocal audio has been altered or enhanced through some form of signal processing.
-
E.
usesVocalOverdubbing
Indicates that one entity applies vocal overdubbing to another entity, layering additional recorded vocals over an existing audio track.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:06 p.m.