Triple

T3937136
Position Surface form Disambiguated ID Type / Status
Subject Hanna Zdanowska E90938 entity
Predicate familyName P18 FINISHED
Object Zdanowska E90938 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: Zdanowska | Statement: [Hanna Zdanowska, familyName, Zdanowska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zdanowska
Context triple: [Hanna Zdanowska, familyName, Zdanowska]
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Magdalena Górka
    Magdalena Górka is a Polish cinematographer known for her work on feature films, documentaries, and television projects, including the mockumentary "I'm Still Here."
  • C. Hanna Zdanowska chosen
    Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
  • D. Zofia Leśniowska
    Zofia Leśniowska was the daughter and close aide of Polish Prime Minister and Commander-in-Chief Władysław Sikorski, known for her role in the Polish government-in-exile during World War II and her death in the 1943 Gibraltar air crash.
  • E. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedceab608190934293d432f14476 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528922a548190a8e5339deacaefd9 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.