Triple

T2406303
Position Surface form Disambiguated ID Type / Status
Subject Svetlana Khodchenkova E50283 entity
Predicate givenName P17 FINISHED
Object Svetlana E256802 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: Svetlana | Statement: [Svetlana Khodchenkova, givenName, Svetlana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svetlana
Context triple: [Svetlana Khodchenkova, givenName, Svetlana]
  • A. Svetlana chosen
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • B. Svetlana Vasilyeva
    Svetlana Vasilyeva is known primarily as the daughter of Vasily Stalin, making her a granddaughter of Soviet leader Joseph Stalin.
  • C. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • D. Anastasia Virganskaya
    Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
  • E. Katerina Tikhonova
    Katerina Tikhonova is a Russian academic and business executive widely reported to be one of Vladimir Putin’s daughters, known for her roles in scientific institutions and high-tech investment projects.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cd2e9808190aa124c6051d1fc98 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:58 p.m.