Triple

T1089720
Position Surface form Disambiguated ID Type / Status
Subject Sophia Tolstaya E24133 entity
Predicate name P16 FINISHED
Object Sophia Tolstaya E24133 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: Sophia Tolstaya | Statement: [Sophia Tolstaya, name, Sophia Tolstaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Tolstaya
Context triple: [Sophia Tolstaya, name, Sophia Tolstaya]
  • A. Sophia Tolstaya chosen
    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.
  • B. Tatyana Tolstaya
    Tatyana Tolstaya is a contemporary Russian writer, essayist, and television host known for her imaginative, stylistically rich fiction and sharp cultural commentary.
  • C. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • D. Varvara Vasilyevna Kashirina
    Varvara Vasilyevna Kashirina was the mother of the renowned Russian writer Maksim Gorky and a formative influence during his difficult early life.
  • E. Alexei Tolstoy
    Alexei Tolstoy was a prominent Russian writer and novelist known for his historical epics, science fiction works, and contributions to Soviet literature.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8303cbec8190a3b8a9bad2434ee7 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:42 p.m.