Triple

T18013306
Position Surface form Disambiguated ID Type / Status
Subject Marta Kaczyńska E430936 entity
Predicate familyName P18 FINISHED
Object Kaczyńska 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: Kaczyńska | Statement: [Marta Kaczyńska, familyName, Kaczyńska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaczyńska
Context triple: [Marta Kaczyńska, familyName, Kaczyńska]
  • A. Kaczyńska chosen
    Kaczyńska is a Polish surname most prominently associated with Maria Kaczyńska, the former First Lady of Poland.
  • B. Kaczorowski
    Kaczorowski is a Polish surname most notably borne by Ryszard Kaczorowski, the last President of Poland in exile.
  • C. Grabski
    Grabski is a Polish surname most notably associated with Władysław Grabski, an economist and statesman who served as Prime Minister of Poland.
  • D. Komorowski
    Komorowski is a Polish surname most prominently associated with Bronisław Komorowski, a former President of Poland.
  • E. Sosnkowski
    Sosnkowski is a Polish surname most notably borne by Kazimierz Sosnkowski, a prominent Polish general and political figure of the 20th century.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b521befc81908dff44f19aa3d580 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.