Triple
T959340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Koltso |
E20698
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Andrey Yeremenko |
E10049
|
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: Andrey Yeremenko | Statement: [Operation Koltso, commander, Andrey Yeremenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrey Yeremenko Context triple: [Operation Koltso, commander, Andrey Yeremenko]
-
A.
Andrey Yeremenko
chosen
Andrey Yeremenko was a Soviet general and Marshal of the Soviet Union who played a key leadership role on the Eastern Front during World War II, particularly in major operations against Nazi Germany.
-
B.
Pavel Zhigarev
Pavel Zhigarev was a prominent Soviet military aviator and Marshal of Aviation who served as a leading commander of the Soviet Air Forces during and after World War II.
-
C.
Vyacheslav Kozlov
Vyacheslav Kozlov is a Russian former professional ice hockey winger known for his scoring ability and long NHL career, including key roles with the Detroit Red Wings and Atlanta Thrashers.
-
D.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
-
E.
Igor Babuschkin
Igor Babuschkin is an AI researcher and engineer known for his work on large language models at organizations such as DeepMind, OpenAI, and later xAI.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b412f9f48190be123e8c20f38962 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d73c10c8190a059c3ae6b3a6279 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.