Triple
T31912234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Lightning |
E814716
|
entity |
| Predicate | usesSoundEffectsInPerformance |
P121825
|
FINISHED |
| Object | vocal imitations of drinking and explosions |
—
|
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: vocal imitations of drinking and explosions | Statement: [White Lightning, usesSoundEffectsInPerformance, vocal imitations of drinking and explosions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSoundEffectsInPerformance Context triple: [White Lightning, usesSoundEffectsInPerformance, vocal imitations of drinking and explosions]
-
A.
usesSound
Indicates that one entity employs or relies on sound as a means or tool in relation to another entity or context.
-
B.
usesStageEffects
chosen
Indicates that an entity employs stage-based visual, auditory, or mechanical effects as part of a performance or presentation.
-
C.
usesSoundMaterial
Indicates that an entity employs or incorporates sound-based materials (such as audio, recordings, or sonic elements) in its activity, process, or composition.
-
D.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
E.
usesInstrumentsOnStage
Indicates that an entity performs on stage while making use of musical instruments.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 1, 2026, 12:01 a.m.