Triple

T10864175
Position Surface form Disambiguated ID Type / Status
Subject Kuntsevo Cemetery E256484 entity
Predicate hasGraveOf P196 FINISHED
Object Yuri Nikulin E158946 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: Yuri Nikulin | Statement: [Kuntsevo Cemetery, hasGraveOf, Yuri Nikulin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuri Nikulin
Context triple: [Kuntsevo Cemetery, hasGraveOf, Yuri Nikulin]
  • A. Yuri Nikulin chosen
    Yuri Nikulin was a beloved Soviet and Russian clown and film actor, renowned for his work in the Moscow Circus on Tsvetnoy Boulevard and for starring in many classic Soviet comedies.
  • B. Grigory Yevdokimov
    Grigory Yevdokimov was a Soviet political figure and Old Bolshevik who became one of the accused in Stalin’s Great Purge show trials.
  • C. Vladimir Gelfreikh
    Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
  • D. Vladimir Shamanov
    Vladimir Shamanov is a Russian military general and politician known for his prominent command roles in the Chechen Wars and later service as a senior official in Russia’s armed forces and government.
  • E. Nikolai Dubinin
    Nikolai Dubinin was a prominent Soviet geneticist known for his work in population genetics and his role in rebuilding Soviet genetics after the Lysenko era.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516b2f148190adbacd35fc8c2056 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed654848190b53e8b64d81eb143 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:20 p.m.