Triple
T2797723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well-Tempered Clavier |
E53077
|
entity |
| Predicate | tuningConcept |
P30142
|
FINISHED |
| Object | well temperament |
—
|
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: well temperament | Statement: [The Well-Tempered Clavier, tuningConcept, well temperament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuningConcept Context triple: [The Well-Tempered Clavier, tuningConcept, well temperament]
-
A.
tuning
Indicates the adjustment or calibration of something’s parameters or settings to achieve desired performance or behavior.
-
B.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
-
C.
tuningOfInstrument
chosen
Indicates the specific tuning configuration or pitch arrangement applied to a musical instrument.
-
D.
usesAutoTune
Indicates that the subject employs automatic pitch-correction technology (Auto-Tune) on their vocal or audio recordings.
-
E.
tonalCenter
Indicates that one musical element functions as the primary pitch or key center around which another musical element is organized.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.