Triple

T14467081
Position Surface form Disambiguated ID Type / Status
Subject Brezhneva E358740 entity
Predicate notableBearer P458 FINISHED
Object Viktoria Brezhneva E71617 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: Viktoria Brezhneva | Statement: [Brezhneva, notableBearer, Viktoria Brezhneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktoria Brezhneva
Context triple: [Brezhneva, notableBearer, Viktoria Brezhneva]
  • A. Viktoria Brezhneva chosen
    Viktoria Brezhneva was the wife of Soviet leader Leonid Brezhnev and a Soviet public figure who largely remained out of the political spotlight.
  • B. Tamara Brezhneva
    Tamara Brezhneva is a member of the prominent Soviet Brezhnev family, known for its close association with longtime Soviet leader Leonid Brezhnev.
  • C. Anna Vasilchikova
    Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
  • D. Galina Brezhneva
    Galina Brezhneva was a Soviet socialite and public figure best known as the controversial and flamboyant daughter of longtime Soviet leader Leonid Brezhnev.
  • E. Svetlana Svetlichnaya
    Svetlana Svetlichnaya is a Soviet and Russian actress best known for her glamorous and seductive roles in classic Soviet cinema.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f8613c819080424104c0b7f4c3 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3bade48190a4608ca46f5f558a completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:19 a.m.