Triple

T13717370
Position Surface form Disambiguated ID Type / Status
Subject Ewelina Hańska E328936 entity
Predicate familyName P18 FINISHED
Object Hańska E328936 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: Hańska | Statement: [Ewelina Hańska, familyName, Hańska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hańska
Context triple: [Ewelina Hańska, familyName, Hańska]
  • A. Hańska chosen
    Hańska is a Polish surname most notably associated with Ewelina Hańska, the Polish noblewoman and later wife of French novelist Honoré de Balzac.
  • B. Hażlach
    Hażlach is a village and the seat of a rural administrative district in southern Poland’s Silesian Voivodeship.
  • C. Chełmek
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • D. Krommenie
    Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • E. Myślibórz
    Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.