Triple
T27531972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen Philharmonic Orchestra |
E694994
|
entity |
| Predicate | hasHonoraryConductor |
P79441
|
FINISHED |
| Object | Andrew Litton |
—
|
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: Andrew Litton | Statement: [Bergen Philharmonic Orchestra, hasHonoraryConductor, Andrew Litton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonoraryConductor Context triple: [Bergen Philharmonic Orchestra, hasHonoraryConductor, Andrew Litton]
-
A.
honoraryConductor
chosen
Indicates that a person holds an honorary (non-regular, often ceremonial) conductor role with an orchestra or musical ensemble.
-
B.
hasConductor
Indicates that an entity (such as an event, performance, or ensemble) is associated with a specific conductor who leads or directs it.
-
C.
notableConductor
Indicates that the subject is a conductor who is recognized as notable or distinguished in their field.
-
D.
principalGuestConductorOf
Indicates that one entity serves as the principal guest conductor for another entity, typically an orchestra or musical ensemble.
-
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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 1:26 p.m.