Triple
T28489986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Rhumba |
E720935
|
entity |
| Predicate | hasOrchestraArrangerOnNotableRecording |
P105966
|
FINISHED |
| Object | Gil Evans |
—
|
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: Gil Evans | Statement: [New Rhumba, hasOrchestraArrangerOnNotableRecording, Gil Evans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrchestraArrangerOnNotableRecording Context triple: [New Rhumba, hasOrchestraArrangerOnNotableRecording, Gil Evans]
-
A.
notableArrangementOf
Indicates that one entity is a significant or noteworthy configuration, ordering, or spatial organization of the other entity.
-
B.
notableRecordingConductor
Indicates that the object is a conductor who is notably associated with conducting a particular recording of the subject work or performance.
-
C.
hasArranger
Indicates that one entity serves as the arranger (e.g., musically or structurally) for another entity, such as a work, performance, or composition.
-
D.
notableConductor
Indicates that the subject is a conductor who is recognized as notable or distinguished in their field.
-
E.
musicOrchestratedBy
chosen
Indicates that a piece of music or musical work is arranged or orchestrated by a specific person 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 28, 2026, 3 a.m.