Triple

T22119592
Position Surface form Disambiguated ID Type / Status
Subject Sleepwalker in a Fog E546630 entity
Predicate author P4 FINISHED
Object Tatyana Tolstaya 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: Tatyana Tolstaya | Statement: [Sleepwalker in a Fog, author, Tatyana Tolstaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatyana Tolstaya
Context triple: [Sleepwalker in a Fog, author, Tatyana Tolstaya]
  • A. Tatyana Tolstaya chosen
    Tatyana Tolstaya is a contemporary Russian writer, essayist, and television host known for her imaginative, stylistically rich fiction and sharp cultural commentary.
  • B. Natalia Tolstaya
    Natalia Tolstaya is a Russian writer and public figure, known for her works on psychology, relationships, and personal development.
  • C. Maria Lvovna Tolstaya
    Maria Lvovna Tolstaya was one of the daughters of the Russian writer Leo Tolstoy and his wife Sophia, belonging to the prominent Tolstoy family.
  • D. Tatiana Lvovna Tolstaya
    Tatiana Lvovna Tolstaya was a daughter of the Russian writer Leo Tolstoy and his wife Sophia, belonging to the prominent Tolstoy literary family.
  • E. Sophia Tolstaya
    Sophia Tolstaya was a Russian diarist, editor, and wife of novelist Leo Tolstoy, known for managing his household, copying his manuscripts, and documenting their complex marriage.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.