Triple

T13716634
Position Surface form Disambiguated ID Type / Status
Subject One War E328917 entity
Predicate hasCastMember P2308 FINISHED
Object Mikhail Efremov E516946 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: Mikhail Efremov | Statement: [One War, hasCastMember, Mikhail Efremov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikhail Efremov
Context triple: [One War, hasCastMember, Mikhail Efremov]
  • A. Mikhail Yefremov chosen
    Mikhail Yefremov was a Soviet Red Army general who commanded forces in the early stages of the German invasion of the USSR during World War II and was killed in action in 1942.
  • B. Nikolai Yefremov
    Nikolai Yefremov is a Russian actor known for his roles in film and television, including a part in the science fiction thriller "The Darkest Hour."
  • C. Oleg Yefremov
    Oleg Yefremov was a prominent Soviet and Russian actor and theater director, best known as a leading figure of the Moscow Art Theatre and a major influence on 20th-century Russian stage art.
  • D. Sergey Rozanov
    Sergey Rozanov was a Russian military leader who served as a prominent White Army commander during the Russian Civil War.
  • E. Venedikt Erofeev
    Venedikt Erofeev was a Russian writer and satirist best known for his cult prose poem "Moscow-Petushki," a darkly comic, philosophical account of a drunken train journey.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8cd0280819081c524660f3822f3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:54 p.m.