Triple

T15506412
Position Surface form Disambiguated ID Type / Status
Subject Peredelkino E379092 entity
Predicate hasResident P6481 FINISHED
Object Vasily Aksyonov E1045964 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: Vasily Aksyonov | Statement: [Peredelkino, hasResident, Vasily Aksyonov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasily Aksyonov
Context triple: [Peredelkino, hasResident, Vasily Aksyonov]
  • A. Vasily Aksyonov chosen
    Vasily Aksyonov was a prominent Russian writer and dissident known for his satirical and anti-totalitarian novels that challenged Soviet authority.
  • B. Sergey Aksakov
    Sergey Aksakov was a 19th-century Russian writer and memoirist best known for his detailed depictions of Russian provincial life and classic works like "A Family Chronicle" and "The Childhood Years of Bagrov Grandson."
  • C. 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.
  • D. Andrei Bitov
    Andrei Bitov was a prominent Russian writer and essayist, often associated with postmodernism, best known for his novel "Pushkin House."
  • E. 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."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454ca0f0819088ba846a448dda2e completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:55 a.m.