Triple

T521013
Position Surface form Disambiguated ID Type / Status
Subject Olena Zelenska E10815 entity
Predicate child P120 FINISHED
Object Oleksandra Zelenska E10815 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: Oleksandra Zelenska | Statement: [Olena Zelenska, child, Oleksandra Zelenska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleksandra Zelenska
Context triple: [Olena Zelenska, child, Oleksandra Zelenska]
  • A. Olena Zelenska chosen
    Olena Zelenska is the First Lady of Ukraine, a screenwriter and public figure known for her advocacy in education, health, and cultural diplomacy.
  • B. Volodymyr Zelenskyy
    Volodymyr Zelenskyy is the President of Ukraine, a former comedian and actor who became internationally prominent for his leadership during Russia’s full-scale invasion of Ukraine.
  • C. Olena Shuliak
    Olena Shuliak is a Ukrainian politician who leads the Servant of the People party and plays a prominent role in the country’s contemporary political landscape.
  • 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. Mariette Kövesi
    Mariette Kövesi was the wife of renowned mathematician and polymath John von Neumann.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a1817c8190a6cc8f423071d3ad completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d50c688190b0093af8870f6fdf completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.