Triple
T22633272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathalie Péchalat |
E558609
|
entity |
| Predicate | coach |
P2169
|
FINISHED |
| Object | Alexander Zhulin |
—
|
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: Alexander Zhulin | Statement: [Nathalie Péchalat, coach, Alexander Zhulin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Zhulin Context triple: [Nathalie Péchalat, coach, Alexander Zhulin]
-
A.
Alexander Zhulin
chosen
Alexander Zhulin is a Russian former ice dancer and Olympic medalist who became prominent in the late 1980s and early 1990s and later worked as a coach and choreographer.
-
B.
Alexander Yashin
Alexander Yashin was a Soviet Russian poet and prose writer known for his depictions of rural life and the hardships of the Russian countryside.
-
C.
Alexander Olevskii
Alexander Olevskii is a mathematician known for his contributions to harmonic analysis and related areas, for which he received the Salem Prize.
-
D.
Alexey Chumachenko
Alexey Chumachenko is a Russian academic and administrator who serves as the rector of Saratov State University.
-
E.
Alexander Zaitsev
Alexander Zaitsev was a Russian chemist best known for formulating Zaitsev's rule, which predicts the favored product in elimination reactions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.