Triple
T4565977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Symphony Orchestra |
E121909
|
entity |
| Predicate | roleOfJukkaPekkaSaraste |
P42172
|
FINISHED |
| Object | former music director |
—
|
LITERAL FINISHED |
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: former music director | Statement: [Toronto Symphony Orchestra, roleOfJukkaPekkaSaraste, former music director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJukkaPekkaSaraste Context triple: [Toronto Symphony Orchestra, roleOfJukkaPekkaSaraste, former music director]
-
A.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
-
B.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
C.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
D.
speakerRole
Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589cde9081909b84186d700fc463 |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.