Triple
T26505508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | goldMedalistInMensSingles |
P81987
|
FINISHED |
| Object | Yuzuru Hanyu |
—
|
NE NERFINISHED |
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: Yuzuru Hanyu | Statement: [figure skating at the 2014 Winter Olympics, goldMedalistInMensSingles, Yuzuru Hanyu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalistInMensSingles Context triple: [figure skating at the 2014 Winter Olympics, goldMedalistInMensSingles, Yuzuru Hanyu]
-
A.
men'sSinglesChampion
chosen
Indicates that the subject is the winner of the men's singles competition in a given event or tournament.
-
B.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
C.
goldMedalNationInLadiesSingles
Indicates that a nation is the country whose athlete won the gold medal in the ladies' singles event.
-
D.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
E.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:16 a.m.