Triple
T38420710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigsby vibrato |
E903218
|
entity |
| Predicate | effectOnSound |
P152853
|
FINISHED |
| Object | modulates pitch by changing string tension |
—
|
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: modulates pitch by changing string tension | Statement: [Bigsby vibrato, effectOnSound, modulates pitch by changing string tension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSound Context triple: [Bigsby vibrato, effectOnSound, modulates pitch by changing string tension]
-
A.
audioEffect
chosen
Indicates that one entity applies or represents an audio processing effect that modifies the sound characteristics of another entity.
-
B.
effectSource
Indicates that one entity is the origin or cause from which a particular effect, outcome, or influence arises for another entity.
-
C.
effectOnOutput
Indicates how one factor, action, or condition influences or changes the resulting output of a process or system.
-
D.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
E.
effectOnUsage
Indicates how one factor or condition changes the way something is used, including the extent, manner, or frequency of its usage.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:31 p.m.