Triple
T22888647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 World Figure Skating Championships |
E567672
|
entity |
| Predicate | ladiesSinglesBronzeMedalist |
P150137
|
FINISHED |
| Object | Alena Leonova |
—
|
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: Alena Leonova | Statement: [2011 World Figure Skating Championships, ladiesSinglesBronzeMedalist, Alena Leonova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ladiesSinglesBronzeMedalist Context triple: [2011 World Figure Skating Championships, ladiesSinglesBronzeMedalist, Alena Leonova]
-
A.
ladiesSinglesChampion
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
B.
womenSilverMedalist
Indicates that the subject is the female athlete who achieved second place (won the silver medal) in a specified competition or event.
-
C.
womenGoldMedalists
Indicates that the subject is a woman who has won a gold medal in a specified competition or event.
-
D.
pairsGoldMedalists
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.
bronzeMedalistPairs
Indicates that the paired entities together achieved third place (bronze medal) in a given competition or event.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc37a448190996e106aacc900f4 |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:40 p.m.