Triple

T22503209
Position Surface form Disambiguated ID Type / Status
Subject Danuta Stenka E556326 entity
Predicate name P16 FINISHED
Object Danuta Stenka NE NERFINISHED

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: Danuta Stenka | Statement: [Danuta Stenka, name, Danuta Stenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danuta Stenka
Context triple: [Danuta Stenka, name, Danuta Stenka]
  • A. Danuta Stenka chosen
    Danuta Stenka is a renowned Polish film, television, and theatre actress known for her powerful dramatic roles and extensive work in Polish cinema.
  • B. Ludgarda Buzek
    Ludgarda Buzek is a Polish academic and chemical engineer known for her work in technical sciences and as the wife of former Polish Prime Minister and European Parliament President Jerzy Buzek.
  • C. Ilona Szmick
    Ilona Szmick was the first wife of Hungarian-American actor Bela Lugosi, known for his iconic portrayal of Count Dracula.
  • D. Anna Kuzniar
    Anna Kuzniar was the wife of American film director Anthony Mann, known primarily in relation to his personal life rather than for a public career of her own.
  • E. Helena Krywaniuk
    Helena Krywaniuk is a pharmacy professional associated with Eagle Pharmacy, likely working in a clinical or community pharmacy role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5a01888190ba65a05616b63cbe completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.