Triple
T34779042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Symphony |
E1002589
|
entity |
| Predicate | hasFictionalConcertmaster |
P62476
|
FINISHED |
| Object | Cynthia Taylor |
—
|
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: Cynthia Taylor | Statement: [New York Symphony, hasFictionalConcertmaster, Cynthia Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalConcertmaster Context triple: [New York Symphony, hasFictionalConcertmaster, Cynthia Taylor]
-
A.
hasFormerConcertmaster
Indicates that an entity has, as part of its history, a person who previously held the role of concertmaster for it.
-
B.
hasViolinist
Indicates that an entity is associated with or includes a violinist as part of its composition, membership, or participants.
-
C.
hasVirtuosicOrchestration
Indicates that something features exceptionally skilled, elaborate, or technically demanding orchestral writing or arrangement.
-
D.
hasFictionalPerformer
chosen
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
-
E.
containsFamousConcerto
Indicates that one entity (such as a collection, album, or program) includes within it a well-known or widely recognized concerto.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: May 3, 2026, 3:59 p.m.