Triple

T21902096
Position Surface form Disambiguated ID Type / Status
Subject Sergei Bondarchuk E540833 entity
Predicate child P120 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: [Sergei Bondarchuk, child, Fyodor Bondarchuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyodor Bondarchuk
Context triple: [Sergei Bondarchuk, child, 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d2d63c819090e115708aa4dbf8 completed April 28, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a736412c4819084e638878a8de9e4 completed May 18, 2026, 2:03 a.m.
Created at: April 16, 2026, 7:21 p.m.