Triple
T33088101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Mitchell |
E846698
|
entity |
| Predicate | tuningInnovation |
P119220
|
FINISHED |
| Object | tuned bass in fifths instead of fourths |
—
|
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: tuned bass in fifths instead of fourths | Statement: [Red Mitchell, tuningInnovation, tuned bass in fifths instead of fourths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuningInnovation Context triple: [Red Mitchell, tuningInnovation, tuned bass in fifths instead of fourths]
-
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.
tuningType
chosen
Indicates the specific method or configuration by which something is adjusted or calibrated to achieve a desired performance or behavior.
-
D.
tunedBy
Indicates that one entity has been adjusted or calibrated in its settings, parameters, or configuration by another entity.
-
E.
tuningOfInstrument
Indicates the specific tuning configuration or pitch arrangement applied to a musical instrument.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.