Triple
T28768952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexei Yagudin |
E726355
|
entity |
| Predicate | EuropeanChampionInFigureSkating |
P165787
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Alexei Yagudin, EuropeanChampionInFigureSkating, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanChampionInFigureSkating Context triple: [Alexei Yagudin, EuropeanChampionInFigureSkating, 1998]
-
A.
championIceDance
Indicates that one entity is the champion in the discipline of ice dance, typically in relation to a specific competition, event, or title.
-
B.
ISUChampionsSeriesFinalChampion
Indicates that an entity is the overall winner of the final event in an ISU Champions Series competition.
-
C.
winnerIceDance
Indicates that one entity is the winner of an ice dance competition or event in relation to another specified context (such as a competition, year, or performance).
-
D.
silverMedalistIceDance
Indicates that an entity achieved second place (won the silver medal) in an ice dance competition or event.
-
E.
pairsFreeSkateWinners
Indicates the pairs figure skating team that won the free skate segment of a competition.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 6:14 a.m.