Triple

T19780015
Position Surface form Disambiguated ID Type / Status
Subject Mateusz Morawiecki E475105 entity
Predicate spouse P13 FINISHED
Object Iwona Morawiecka 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: Iwona Morawiecka | Statement: [Mateusz Morawiecki, spouse, Iwona Morawiecka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iwona Morawiecka
Context triple: [Mateusz Morawiecki, spouse, Iwona Morawiecka]
  • A. Iwona Morawiecka chosen
    Iwona Morawiecka is a Polish businesswoman best known as the wife of former Polish Prime Minister Mateusz Morawiecki.
  • B. Aleksandra Kwaśniewska
    Aleksandra Kwaśniewska is a Polish television presenter and journalist, best known as the daughter of former Polish president Aleksander Kwaśniewski.
  • 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. Agata Kornhauser-Duda
    Agata Kornhauser-Duda is a Polish teacher and the First Lady of Poland, known for her role as the wife of President Andrzej Duda.
  • E. Maja Ostaszewska
    Maja Ostaszewska is a Polish film, television, and theater actress known for her versatile dramatic roles and collaborations with prominent Polish directors.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.