Triple

T9250575
Position Surface form Disambiguated ID Type / Status
Subject Nikitin E222310 entity
Predicate hasFeminineForm P1613 FINISHED
Object Nikitina E222310 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: Nikitina | Statement: [Nikitin, hasFeminineForm, Nikitina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikitina
Context triple: [Nikitin, hasFeminineForm, Nikitina]
  • A. 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.
  • B. Nikitin chosen
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • C. Korotkova
    Korotkova is the family name of Kira Muratova, the acclaimed Soviet and Ukrainian film director and screenwriter.
  • D. Khodchenkova
    Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f9ade48190ac8425a1c6f066b1 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780650648190bc85452678268134 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.