Triple

T13847023
Position Surface form Disambiguated ID Type / Status
Subject Lyudmila Lukyanova E332832 entity
Predicate spouse P13 FINISHED
Object Anatoly Lukyanov 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: Anatoly Lukyanov | Statement: [Lyudmila Lukyanova, spouse, Anatoly Lukyanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anatoly Lukyanov
Context triple: [Lyudmila Lukyanova, spouse, Anatoly Lukyanov]
  • A. Anatoly Lukyanov chosen
    Anatoly Lukyanov was a Soviet politician and close ally of Mikhail Gorbachev who served as Chairman of the Supreme Soviet and later became known for his involvement in the failed August 1991 coup attempt.
  • B. Yuri Lukyanov
    Yuri Lukyanov is a notable individual who prominently bears the surname Lukyanov, recognized enough to be specifically cited among its distinguished holders.
  • C. Vladimir Lukyanov
    Vladimir Lukyanov is a Russian engineer and inventor best known for creating one of the world’s first analog computers that used water to model and solve complex mathematical problems.
  • D. Yury Bukreyev
    Yury Bukreyev was a Soviet military officer who rose to senior command rank, notably leading the prestigious 2nd Guards Tank Army.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:14 p.m.