Triple
T19426697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Zverev |
E485996
|
entity |
| Predicate | teachingDiscipline |
P98445
|
FINISHED |
| Object | piano |
—
|
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: piano | Statement: [Nikolai Zverev, teachingDiscipline, piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingDiscipline Context triple: [Nikolai Zverev, teachingDiscipline, piano]
-
A.
teachingSubject
chosen
Indicates that an entity is engaged in teaching or instructing another entity in a particular subject or field of knowledge.
-
B.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
C.
scopeOfTeaching
Indicates the range, subjects, or areas that a teaching activity, role, or responsibility covers.
-
D.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
E.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63219f27481909fe686209defc971 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.