Triple

T10864160
Position Surface form Disambiguated ID Type / Status
Subject Kuntsevo Cemetery E256484 entity
Predicate hasGraveOf P196 FINISHED
Object Mikhail Suslov E36931 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: Mikhail Suslov | Statement: [Kuntsevo Cemetery, hasGraveOf, Mikhail Suslov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikhail Suslov
Context triple: [Kuntsevo Cemetery, hasGraveOf, Mikhail Suslov]
  • A. Mikhail Suslov chosen
    Mikhail Suslov was a powerful Soviet politician and chief ideologue of the Communist Party, known as one of the principal architects of postwar Soviet orthodoxy and policy.
  • B. Nikolai Suslov
    Nikolai Suslov is a Russian businessman and media executive known for his involvement in the television and entertainment industry.
  • C. Vladimir Suslov
    Vladimir Suslov is a Russian architect and preservationist known for his work in restoring and protecting historical monuments and architectural heritage.
  • D. Nikolai Kryuchkov
    Nikolai Kryuchkov was a prominent Soviet film and theater actor known for his roles in classic Russian cinema from the 1930s through the postwar era.
  • E. Viktor Zhdanov
    Viktor Zhdanov was a Soviet virologist whose advocacy and strategic vision were pivotal in launching the global campaign that ultimately eradicated smallpox.
  • 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_69e373d238b88190a6f44fecfb64410c completed April 18, 2026, 12:06 p.m.
Created at: April 8, 2026, 9:20 p.m.