Triple
T32068394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Fucile |
E818944
|
entity |
| Predicate | providedVocalEffectsFor |
P79162
|
FINISHED |
| Object | Jack-Jack Parr |
—
|
NE NERFINISHED |
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: Jack-Jack Parr | Statement: [Eli Fucile, providedVocalEffectsFor, Jack-Jack Parr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedVocalEffectsFor Context triple: [Eli Fucile, providedVocalEffectsFor, Jack-Jack Parr]
-
A.
vocalEffects
Indicates that one entity applies or produces specific modifications, enhancements, or stylistic effects on another entity’s vocal sound or performance.
-
B.
voiceEffectsBy
chosen
Indicates that one entity applies or produces voice-related effects that modify or transform the voice of another entity.
-
C.
hasVocalForces
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
D.
hasAdditionalVocalElements
Indicates that an entity includes extra vocal components or embellishments beyond its primary or standard vocal parts.
-
E.
usesVocalSamples
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 1, 2026, 12:22 a.m.