Triple

T22247416
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Bondarchuk E549880 entity
Predicate name P16 FINISHED
Object Fyodor Bondarchuk E549880 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: Fyodor Bondarchuk | Statement: [Fyodor Bondarchuk, name, Fyodor Bondarchuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyodor Bondarchuk
Context triple: [Fyodor Bondarchuk, name, Fyodor Bondarchuk]
  • A. Fyodor Bondarchuk chosen
    Fyodor Bondarchuk is a Russian film director, producer, and actor known for large-scale blockbusters such as "The 9th Company" and "Stalingrad."
  • B. Aleksei Bondarchuk
    Aleksei Bondarchuk is a Russian actor and film director known for his work in contemporary Russian cinema.
  • C. Konstantin Bondarchuk
    Konstantin Bondarchuk is a person notable enough to be recognized as a bearer of the surname Bondarchuk, though specific widely known public details about him are limited.
  • D. Sergei Bondarchuk
    Sergei Bondarchuk was a Soviet and Russian film director, screenwriter, and actor best known for his epic adaptation of Leo Tolstoy’s "War and Peace," which won the Academy Award for Best Foreign Language Film.
  • E. Boris Kashin
    Boris Kashin is a Russian mathematician known for his influential work in functional analysis and approximation theory.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13218d1f88190b64b7f301328fa98 completed April 28, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc898b288190977484e0c834d361 completed May 18, 2026, 8:23 a.m.
Created at: April 16, 2026, 8:38 p.m.