Triple
T29295721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristi Yamaguchi |
E742821
|
entity |
| Predicate | formerDiscipline |
P196943
|
FINISHED |
| Object | pairs figure 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: pairs figure skating | Statement: [Kristi Yamaguchi, formerDiscipline, pairs figure skating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerDiscipline Context triple: [Kristi Yamaguchi, formerDiscipline, pairs figure skating]
-
A.
disciplineFondée
Indicates that one discipline was founded, established, or created by another discipline or foundational field.
-
B.
formerCourse
Indicates that one entity previously served as a course for another entity but no longer holds that status.
-
C.
dominatedDiscipline
Indicates that one entity exerted controlling power or authority over another within a specific discipline or field.
-
D.
usedForDiscipline
Indicates that one entity is employed as a means or tool to impose discipline or enforce behavioral control on another entity.
-
E.
disciplinarianOf
Indicates that one entity holds and exercises strict authority or control over another, enforcing rules and discipline.
- F. None of above. chosen
Provenance (4 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69fe6fe98e38819085100ce4c6cee5b8 |
completed | May 8, 2026, 11:21 p.m. |
Created at: April 28, 2026, 1:06 p.m.