Triple
T26505511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | goldMedalistInPairs |
P149960
|
FINISHED |
| Object | Maxim Trankov |
—
|
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: Maxim Trankov | Statement: [figure skating at the 2014 Winter Olympics, goldMedalistInPairs, Maxim Trankov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalistInPairs Context triple: [figure skating at the 2014 Winter Olympics, goldMedalistInPairs, Maxim Trankov]
-
A.
silverMedalistIceDance
Indicates that an entity achieved second place (won the silver medal) in an ice dance competition or event.
-
B.
silverMedalistPairs
Indicates that the paired entities are the two competitors or teams who finished in second place (silver medal position) together in a given event or competition.
-
C.
bronzeMedalistPairs
Indicates that the paired entities together achieved third place (bronze medal) in a given competition or event.
-
D.
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).
-
E.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
- 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_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:16 a.m.