Triple
T68466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Symphony Orchestra |
E1366
|
entity |
| Predicate | hasConductorRole |
P981
|
FINISHED |
| Object | principal conductor |
—
|
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: principal conductor | Statement: [National Symphony Orchestra, hasConductorRole, principal conductor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConductorRole Context triple: [National Symphony Orchestra, hasConductorRole, principal conductor]
-
A.
hasTeachingRole
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
B.
hasLeader
chosen
Indicates that one entity serves as the leader or head of another entity.
-
C.
hasCommander
Indicates that one entity serves as the commanding officer or leader of another entity.
-
D.
hasNotableRecordingBy
Indicates that an entity (such as a work or composition) has a well-known or significant recording created or performed by a specified agent (such as an artist, ensemble, or label).
-
E.
hasTeachingAuthority
Indicates that one entity possesses the recognized power or right to teach, instruct, or provide formal education to another entity or within a specific context.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea8cfd081908a26edad2473dde3 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.