Triple
T27347403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Rondo à la Turk |
E684265
|
entity |
| Predicate | originalAltoSaxophonist |
P187312
|
FINISHED |
| Object | Paul Desmond |
—
|
NE NERFINISHED |
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: Paul Desmond | Statement: [Blue Rondo à la Turk, originalAltoSaxophonist, Paul Desmond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAltoSaxophonist Context triple: [Blue Rondo à la Turk, originalAltoSaxophonist, Paul Desmond]
-
A.
altoSaxophonist
chosen
Indicates that one entity performs as an alto saxophone player in relation to another entity or context.
-
B.
tenorSaxophonistOnRecording
Indicates that the subject is the tenor saxophonist performing on the specified recording.
-
C.
featuresSaxophonist
Indicates that a musical work, performance, or recording prominently includes a saxophonist as part of its featured personnel.
-
D.
hasSaxophoneSolos
Indicates that one or more saxophone solo performances occur within the referenced work, event, or context.
-
E.
trumpeter
Indicates that an entity plays the trumpet, typically as their role, profession, or primary musical activity in relation to another context or 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 27, 2026, 11:46 a.m.