Triple

T21286634
Position Surface form Disambiguated ID Type / Status
Subject Polina Semyonovna Zhemchuzhina E524676 entity
Predicate givenName P17 FINISHED
Object Polina 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: Polina | Statement: [Polina Semyonovna Zhemchuzhina, givenName, Polina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polina
Context triple: [Polina Semyonovna Zhemchuzhina, givenName, Polina]
  • A. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • B. Ksenia
    Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
  • C. 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.
  • D. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • E. Alisa
    Alisa is a feminine given name, often considered a variant of Alice, used in various cultures around the world.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d717c88190950bd48058912b65 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.