Triple

T15423532
Position Surface form Disambiguated ID Type / Status
Subject Berdychiv E369445 entity
Predicate associatedWithPerson P37 FINISHED
Object Ewelina Hańska E65542 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: Ewelina Hańska | Statement: [Berdychiv, associatedWithPerson, Ewelina Hańska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ewelina Hańska
Context triple: [Berdychiv, associatedWithPerson, Ewelina Hańska]
  • A. Ewelina Hańska chosen
    Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
  • B. Maria Jankowska
    Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
  • C. Jolanta Kwaśniewska
    Jolanta Kwaśniewska is a Polish lawyer, charity activist, and former First Lady of Poland known for her social and philanthropic work.
  • D. Hanna Zdanowska
    Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
  • E. Aleksandra Szczerbińska
    Aleksandra Szczerbińska was a Polish socialist activist and independence fighter who later became the wife of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7d02a08190a1e34e3a014acea9 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.