Triple
T27524691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bawu |
E694800
|
entity |
| Predicate | timbreComparedTo |
P82995
|
FINISHED |
| Object | voice-like quality |
—
|
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: voice-like quality | Statement: [bawu, timbreComparedTo, voice-like quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timbreComparedTo Context triple: [bawu, timbreComparedTo, voice-like quality]
-
A.
typicalTimbre
Indicates that an entity has the characteristic or standard sound quality (timbre) that is typical or expected for its kind.
-
B.
timbrality
chosen
Indicates the relationship between sounds or musical elements in terms of their tone color or quality, distinguishing how they differ or interact based on timbre.
-
C.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
D.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
E.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f2e2df88190948551f6fd67a65a |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:23 p.m.