Triple
T28551532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasha Grishuk / Evgeni Platov |
E722898
|
entity |
| Predicate | ISUDiscipline |
P25609
|
FINISHED |
| Object | ice dance |
—
|
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: ice dance | Statement: [Pasha Grishuk / Evgeni Platov, ISUDiscipline, ice dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISUDiscipline Context triple: [Pasha Grishuk / Evgeni Platov, ISUDiscipline, ice dance]
-
A.
governingDiscipline
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
B.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
C.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
D.
typeDiscipline
chosen
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
-
E.
usesToolFromDiscipline
Indicates that an entity employs a tool, method, or technique that originates from or is characteristic of a particular discipline or field.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6504c5e1c8190903e5c4aeac37a30 |
completed | May 2, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:43 a.m.