Triple
T37388409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Nagano |
E928634
|
entity |
| Predicate | hasWorkedWithOrchestra |
P5979
|
FINISHED |
| Object | London Symphony 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: London Symphony Orchestra | Statement: [Kent Nagano, hasWorkedWithOrchestra, London Symphony Orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkedWithOrchestra Context triple: [Kent Nagano, hasWorkedWithOrchestra, London Symphony Orchestra]
-
A.
performedWithOrchestra
chosen
Indicates that a performance or musical work was carried out in collaboration with an orchestra.
-
B.
hasSymphonyOrchestra
Indicates that an entity possesses, hosts, or is associated with a symphony orchestra.
-
C.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
D.
hasFormerConcertmaster
Indicates that an entity has, as part of its history, a person who previously held the role of concertmaster for it.
-
E.
hasVirtuosicOrchestration
Indicates that something features exceptionally skilled, elaborate, or technically demanding orchestral writing or arrangement.
- 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_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:16 p.m.