Triple

T12137561
Position Surface form Disambiguated ID Type / Status
Subject Battle of Sevastopol (1944) E289099 entity
Predicate commander P1061 FINISHED
Object Andrei 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: Andrei Yeremenko | Statement: [Battle of Sevastopol (1944), commander, Andrei Yeremenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrei Yeremenko
Context triple: [Battle of Sevastopol (1944), commander, Andrei 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. Andrei Nikolishin
    Andrei Nikolishin is a former Russian professional ice hockey center who played in the NHL and internationally for the Russian national team.
  • C. Andrey Smolyakov
    Andrey Smolyakov is a Russian film and theater actor known for his extensive work in Soviet and post-Soviet cinema and television.
  • D. Igor Shchyogolev
    Igor Shchyogolev is a Russian politician and former Minister of Communications and Mass Media who has held several high-ranking government positions.
  • E. Sergey Astakhov
    Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
Created at: April 8, 2026, 9:49 p.m.