Triple

T19431983
Position Surface form Disambiguated ID Type / Status
Subject Titarenko E486136 entity
Predicate hasVariant P455 FINISHED
Object Tytarenko (transliteration variant) NE NERFINISHED

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: Tytarenko (transliteration variant) | Statement: [Titarenko, hasVariant, Tytarenko (transliteration variant)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tytarenko (transliteration variant)
Context triple: [Titarenko, hasVariant, Tytarenko (transliteration variant)]
  • A. Titarenko chosen
    Titarenko is a Ukrainian-origin surname most notably borne by Raisa Maksimovna, the wife of former Soviet leader Mikhail Gorbachev.
  • B. Titsian
    Titsian is a Georgian male given name most notably borne by the 20th-century Georgian poet Titsian Tabidze.
  • C. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • D. Skhodnenskaya
    Skhodnenskaya is a Moscow Metro station on the Tagansko-Krasnopresnenskaya Line serving the northwestern part of the city.
  • E. Kastrychnitskaya
    Kastrychnitskaya is a central Minsk Metro station known for serving the heart of Belarus’s capital near key administrative and cultural landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.