Triple
T20848827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Ellington 1945 Carnegie Hall performance |
E513297
|
entity |
| Predicate | performanceRoleOfDukeEllington |
P142088
|
FINISHED |
| Object | pianist |
—
|
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: pianist | Statement: [Duke Ellington 1945 Carnegie Hall performance, performanceRoleOfDukeEllington, pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceRoleOfDukeEllington Context triple: [Duke Ellington 1945 Carnegie Hall performance, performanceRoleOfDukeEllington, pianist]
-
A.
performerRoleOfJamesBrown
Indicates that the specified role is one that was performed or held by James Brown.
-
B.
styleOfLouisArmstrongVersion
Indicates that something is in the musical style or manner characteristic of Louis Armstrong’s performances or interpretations.
-
C.
primaryInstrumentOfMember_MiltJackson
Indicates that the specified instrument is the main instrument played by the group member Milt Jackson.
-
D.
featuresSaxophonist
Indicates that a musical work, performance, or recording prominently includes a saxophonist as part of its featured personnel.
-
E.
AfricanAmericanAllStar
Indicates that the subject is an All-Star who is African American.
- F. None of above. chosen
Provenance (4 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3520b0081908ce0f43e8f20b24c |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:43 p.m.