Triple
T8391961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekaterina Gordeeva |
E197963
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gordeeva |
E197963
|
NE 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: Gordeeva | Statement: [Ekaterina Gordeeva, familyName, Gordeeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordeeva Context triple: [Ekaterina Gordeeva, familyName, Gordeeva]
-
A.
Ekaterina Gordeeva
chosen
Ekaterina Gordeeva is a Russian former pair skater and two-time Olympic champion, renowned for her artistry and partnership with the late Sergei Grinkov.
-
B.
Tatiana Tarasova
Tatiana Tarasova is a renowned Russian figure skating coach and choreographer known for guiding numerous skaters to Olympic and World Championship titles.
-
C.
Goryacheva
Goryacheva is a Russian surname borne by various notable individuals in fields such as politics, science, and the arts.
-
D.
Oksana Grishuk
Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
-
E.
Darya Domracheva
Darya Domracheva is a Belarusian former biathlete and multiple Olympic champion renowned as one of the most successful female athletes in the sport’s history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810e16b081908e2c25bfb9d590ed |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9ff05c708190bb8d4cc20bfaa1f7 |
completed | April 3, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:03 p.m.