Triple

T11848852
Position Surface form Disambiguated ID Type / Status
Subject Deep operation E281854 entity
Predicate keyTheorist P45611 FINISHED
Object Vladimir Triandafillov 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: Vladimir Triandafillov | Statement: [Deep operation, keyTheorist, Vladimir Triandafillov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimir Triandafillov
Context triple: [Deep operation, keyTheorist, Vladimir Triandafillov]
  • A. Vladimir Triandafillov chosen
    Vladimir Triandafillov was a Soviet military theorist whose pioneering work on operational art and large-scale mechanized warfare laid the foundations for modern deep operations strategy.
  • B. Vladimir Bryntsalov
    Vladimir Bryntsalov is a Russian businessman and politician who briefly gained national attention as a minor candidate in the 1996 Russian presidential election.
  • C. Georgy Trefilov
    Georgy Trefilov is a Russian businessman best known as the founder and former owner of the major retail chain Kopeyka.
  • D. Vladimir Volodarsky
    Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
  • E. Vladimir Dimitriev
    Vladimir Dimitriev was a Russian-born arts administrator and impresario who played a key role in the development of American ballet in the early 20th century.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65c72088190b8de9550c455b788 completed April 10, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:43 p.m.