Triple

T13884699
Position Surface form Disambiguated ID Type / Status
Subject Naina Yeltsina E333810 entity
Predicate name P16 FINISHED
Object Naina Yeltsina E333810 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: Naina Yeltsina | Statement: [Naina Yeltsina, name, Naina Yeltsina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naina Yeltsina
Context triple: [Naina Yeltsina, name, Naina Yeltsina]
  • A. Naina Yeltsina chosen
    Naina Yeltsina is the widow of former Russian president Boris Yeltsin and served as Russia’s first lady during his tenure in the 1990s.
  • B. Maria Gaidar
    Maria Gaidar is a Russian opposition politician and activist known for her liberal views, anti-corruption work, and later involvement in Ukrainian politics.
  • C. Valentina Matviyenko
    Valentina Matviyenko is a prominent Russian politician and former governor of Saint Petersburg who has long been one of the most powerful women in Russian politics.
  • D. Lyudmila Putina
    Lyudmila Putina is the former First Lady of Russia and ex-wife of President Vladimir Putin, known for her low public profile and background as a linguist and translator.
  • E. Maria Vladimirovna Putina
    Maria Vladimirovna Putina is the eldest daughter of Russian president Vladimir Putin, known primarily for her low public profile and reported work in the medical and scientific fields.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c716166c8190a6323f8c01de06a5 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.