Triple

T5470809
Position Surface form Disambiguated ID Type / Status
Subject Polina Zhemchuzhina E122827 entity
Predicate givenName P17 FINISHED
Object Polina E122827 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: Polina | Statement: [Polina Zhemchuzhina, givenName, Polina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polina
Context triple: [Polina Zhemchuzhina, givenName, Polina]
  • A. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • B. Polina Zhemchuzhina chosen
    Polina Zhemchuzhina was a Soviet politician and influential figure in the early USSR, known both for her own party career and for being the wife of senior Soviet statesman Vyacheslav Molotov.
  • C. Yulia
    Yulia is a feminine given name, commonly used in Slavic countries as a form of the name Julia.
  • D. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • E. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921d02188190b5c1eee7205ea88e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.