Triple

T13513573
Position Surface form Disambiguated ID Type / Status
Subject Lev Oborin E322697 entity
Predicate studentOf P48 FINISHED
Object Konstantin Igumnov 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: Konstantin Igumnov | Statement: [Lev Oborin, studentOf, Konstantin Igumnov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konstantin Igumnov
Context triple: [Lev Oborin, studentOf, Konstantin Igumnov]
  • A. Konstantin Igumnov chosen
    Konstantin Igumnov was a prominent Russian pianist and influential pedagogue of the early 20th century, renowned for his interpretations of Romantic repertoire and his long-standing teaching career at the Moscow Conservatory.
  • B. Sergey Muromtsev
    Sergey Muromtsev was a prominent Russian jurist, liberal politician, and the first chairman of the State Duma in the early 20th century.
  • C. Sergei Gerasimov
    Sergei Gerasimov was a prominent Soviet film director, screenwriter, and actor who became one of the leading figures in Soviet cinema and film education.
  • D. Sergey Neverov
    Sergey Neverov is a Russian politician and senior member of the ruling United Russia party who has held prominent leadership roles in national politics.
  • E. Sergei Lukyanov
    Sergei Lukyanov is a Russian actor known for his roles in Soviet-era films and theater productions.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:44 p.m.