Triple

T1099252
Position Surface form Disambiguated ID Type / Status
Subject Anton Yelchin E24340 entity
Predicate mother P120 FINISHED
Object Irina Korina E24340 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: Irina Korina | Statement: [Anton Yelchin, mother, Irina Korina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irina Korina
Context triple: [Anton Yelchin, mother, Irina Korina]
  • A. Irina Korina chosen
    Irina Korina is the mother of late Russian-American actor Anton Yelchin.
  • B. Irina Virganskaya
    Irina Virganskaya is the daughter of former Soviet leader Mikhail Gorbachev, known for largely avoiding public political life while occasionally appearing in media related to her father's legacy.
  • C. Irina Karamanos
    Irina Karamanos is a Chilean political scientist, feminist activist, and cultural manager who became widely known as the partner of President Gabriel Boric and for redefining the traditional role of Chile’s First Lady.
  • D. Elena Milashina
    Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
  • E. Tania Chernova
    Tania Chernova is a Soviet sniper and love interest of Vasily Zaitsev portrayed in the World War II film "Enemy at the Gates."
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9be92688190838ce35cd67e01f3 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacaafe5c8190968cd74e59ceaa53 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:43 p.m.