Triple

T22202513
Position Surface form Disambiguated ID Type / Status
Subject The White Guard E548715 entity
Predicate author P4 FINISHED
Object Mikhail Bulgakov 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: Mikhail Bulgakov | Statement: [The White Guard, author, Mikhail Bulgakov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikhail Bulgakov
Context triple: [The White Guard, author, Mikhail Bulgakov]
  • A. Mikhail Bulgakov chosen
    Mikhail Bulgakov was a Russian writer and playwright best known for his satirical and fantastical novel "The Master and Margarita."
  • B. Valentin Bulgakov
    Valentin Bulgakov was the devoted personal secretary of Leo Tolstoy, known for his role in the writer’s final years and as a character in the film "The Last Station."
  • C. Mikhail Bulgakov-Golitsa
    Mikhail Bulgakov-Golitsa was a 16th-century Russian military leader and nobleman of the Grand Duchy of Moscow, noted for his role in major conflicts with the Grand Duchy of Lithuania and Poland.
  • D. 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.
  • E. 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.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b24c6fc81909e6ae62564846bd1 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.