Triple

T21294391
Position Surface form Disambiguated ID Type / Status
Subject Venedikt Erofeev E524879 entity
Predicate name P16 FINISHED
Object Venedikt Erofeev 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: Venedikt Erofeev | Statement: [Venedikt Erofeev, name, Venedikt Erofeev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venedikt Erofeev
Context triple: [Venedikt Erofeev, name, Venedikt Erofeev]
  • A. Venedikt Erofeev chosen
    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.
  • B. Andrei Platonov
    Andrei Platonov was a Soviet Russian writer and novelist known for his philosophically rich, experimental prose that critically explored utopianism, technology, and the human condition under early Soviet rule.
  • C. Vasily Aksyonov
    Vasily Aksyonov was a prominent Russian writer and dissident known for his satirical and anti-totalitarian novels that challenged Soviet authority.
  • D. Vasili Shukshin
    Vasili Shukshin was a Soviet Russian writer, film director, and actor known for his poignant portrayals of rural life and ordinary people.
  • E. Mikhail Yefremov
    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.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73857784881908c3b8418a4c00c1e completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.