Triple
T12320877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moravian–Ostrava offensive |
E293723
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Andrey Yeremenko |
—
|
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: Andrey Yeremenko | Statement: [Moravian–Ostrava offensive, commander, Andrey Yeremenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrey Yeremenko Context triple: [Moravian–Ostrava offensive, 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.
Alexey Bardukov
Alexey Bardukov is a Russian film and television actor known for his roles in contemporary Russian cinema and TV series.
-
C.
Sergey Astakhov
Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
-
D.
Andrey Tikhonov
Andrey Tikhonov was a prominent Soviet mathematician best known for his foundational work in functional analysis and the theory of ill-posed problems, including Tikhonov regularization.
-
E.
Andrey Smirnov
Andrey Smirnov was a Soviet military general best known for leading Red Army forces during World War II.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:53 p.m.