Triple
T8271368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatiana Tarasova |
E193435
|
entity |
| Predicate | coachedDiscipline |
P13768
|
FINISHED |
| Object | single skating |
—
|
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: single skating | Statement: [Tatiana Tarasova, coachedDiscipline, single skating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedDiscipline Context triple: [Tatiana Tarasova, coachedDiscipline, single skating]
-
A.
coachedFrom
Indicates that one entity served as a coach or trainer for another entity during a specified period or context.
-
B.
coachingSpecialty
chosen
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
-
C.
coachedAlongside
Indicates that two or more individuals served as coaches at the same time, typically for the same team, organization, or event.
-
D.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
-
E.
coachingTrait
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7986f8cc8190a529dda980dd6e98 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.