Triple
T28739381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pair skating at the 1988 Winter Olympics |
E730896
|
entity |
| Predicate | goldMedalists |
P149960
|
FINISHED |
| Object | Ekaterina Gordeeva and Sergei Grinkov |
—
|
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: Ekaterina Gordeeva and Sergei Grinkov | Statement: [pair skating at the 1988 Winter Olympics, goldMedalists, Ekaterina Gordeeva and Sergei Grinkov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalists Context triple: [pair skating at the 1988 Winter Olympics, goldMedalists, Ekaterina Gordeeva and Sergei Grinkov]
-
A.
pairsGoldMedalists
chosen
Indicates that the related entities are athletes who both won gold medals and are considered a pair (e.g., in the same event, team, or partnership).
-
B.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
C.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
D.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
E.
worldMedalist
Indicates that an entity has won a medal at a recognized world-level championship or world 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657b2b1808190a9f7c80eef2efa99 |
completed | May 2, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:02 a.m.