Triple
T37388407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Nagano |
E928634
|
entity |
| Predicate | hasBeenPrincipalConductorOf |
P20921
|
FINISHED |
| Object | Hallé Orchestra |
—
|
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: Hallé Orchestra | Statement: [Kent Nagano, hasBeenPrincipalConductorOf, Hallé Orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenPrincipalConductorOf Context triple: [Kent Nagano, hasBeenPrincipalConductorOf, Hallé Orchestra]
-
A.
principalGuestConductorOf
Indicates that one entity serves as the principal guest conductor for another entity, typically an orchestra or musical ensemble.
-
B.
principalConductor
chosen
Indicates that one entity serves as the main or lead conductor for another entity, typically an orchestra or musical ensemble.
-
C.
notableConductor
Indicates that the subject is a conductor who is recognized as notable or distinguished in their field.
-
D.
formerConductor
Indicates that an entity previously held the role or position of a conductor but no longer does so.
-
E.
notableRecordingConductor
Indicates that the object is a conductor who is notably associated with conducting a particular recording of the subject work or performance.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 3, 2026, 4:16 p.m.