Triple

T2262156
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Ryzhkov E50062 entity
Predicate predecessor P97 FINISHED
Object Nikolai Tikhonov E34726 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: Nikolai Tikhonov | Statement: [Nikolai Ryzhkov, predecessor, Nikolai Tikhonov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolai Tikhonov
Context triple: [Nikolai Ryzhkov, predecessor, Nikolai Tikhonov]
  • A. Nikolai Tikhonov chosen
    Nikolai Tikhonov was a Soviet statesman and economist who served as Premier of the Soviet Union during the early 1980s under Leonid Brezhnev and his successors.
  • B. Nikolai Kuznetsov
    Nikolai Kuznetsov was a Soviet admiral who served as the People’s Commissar of the Navy during World War II and played a key role in modernizing and leading the Soviet naval forces.
  • C. Petr Novikov
    Petr Novikov was a prominent Soviet mathematician known for his work in group theory, logic, and the solution of the word problem for groups.
  • D. Vladimir Malofeyev
    Vladimir Malofeyev is a Belarusian political figure known for his role in the dissolution of the Soviet Union through participation in the Belavezha Accords.
  • E. Nikolay Yevdokimov
    Nikolay Yevdokimov was a Russian Imperial general known for his leading role in the final, often brutal, campaigns that subdued resistance in the Caucasus during the 19th century.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18be8308190abc4a59d37dfd93a completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfcb931f908190b72d825b95ae4861 completed March 22, 2026, 10:59 a.m.
Created at: March 4, 2026, 7:48 p.m.