Triple

T9247999
Position Surface form Disambiguated ID Type / Status
Subject Vaganova Academy of Russian Ballet E222246 entity
Predicate hasAlumni P51 FINISHED
Object Ulyana Lopatkina E265549 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: Ulyana Lopatkina | Statement: [Vaganova Academy of Russian Ballet, hasAlumni, Ulyana Lopatkina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulyana Lopatkina
Context triple: [Vaganova Academy of Russian Ballet, hasAlumni, Ulyana Lopatkina]
  • A. Ulyana Lopatkina chosen
    Ulyana Lopatkina is a renowned Russian ballerina celebrated as one of the leading principal dancers of her generation at the Mariinsky Ballet.
  • B. Lyudmila Feiginova
    Lyudmila Feiginova is a Soviet film editor best known for her work on Sergei Bondarchuk’s epic adaptation of Leo Tolstoy’s "War and Peace" (1965–1967).
  • C. Tatyana Ovechkina
    Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
  • D. Tatyana Nikulina
    Tatyana Nikulina was the wife of famed Soviet clown and actor Yuri Nikulin and a notable figure in his personal and professional life.
  • E. Svetlana Druzhinina
    Svetlana Druzhinina is a Soviet and Russian actress and film director known for her early acting roles in classic Soviet cinema and later for directing popular historical television series.
  • 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_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d642c457f08190a79c7161ceadb869 completed April 8, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:31 p.m.