Triple

T16873603
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Podvoisky E421238 entity
Predicate name P16 FINISHED
Object Nikolai Podvoisky 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: Nikolai Podvoisky | Statement: [Nikolai Podvoisky, name, Nikolai Podvoisky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolai Podvoisky
Context triple: [Nikolai Podvoisky, name, Nikolai Podvoisky]
  • A. Nikolai Podvoisky chosen
    Nikolai Podvoisky was a Bolshevik revolutionary and Soviet political figure who played a key role in organizing the October Revolution and early Red Army structures.
  • B. Alexander Tvardovsky
    Alexander Tvardovsky was a prominent Soviet poet and editor, best known for his narrative poem "Vasily Tyorkin" and his influential leadership of the literary magazine Novy Mir.
  • C. Pyotr Voykov
    Pyotr Voykov was a Soviet diplomat and revolutionary figure best known for his role in the execution of the Russian imperial family and subsequent service as an ambassador.
  • D. Viktor Sadovnichiy
    Viktor Sadovnichiy is a Russian mathematician and academic leader who has long served as the influential rector of Moscow State University.
  • E. Yuri Karabchievsky
    Yuri Karabchievsky was a Russian writer and literary critic known for his works on Russian cultural and literary history.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f40410819088db22fa0d1eb808 completed April 18, 2026, 4:57 p.m.
Created at: April 10, 2026, 5:29 a.m.