Triple

T22335039
Position Surface form Disambiguated ID Type / Status
Subject Maja Ostaszewska E552123 entity
Predicate name P16 FINISHED
Object Maja Ostaszewska 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: Maja Ostaszewska | Statement: [Maja Ostaszewska, name, Maja Ostaszewska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maja Ostaszewska
Context triple: [Maja Ostaszewska, name, Maja Ostaszewska]
  • A. Maja Ostaszewska chosen
    Maja Ostaszewska is a Polish film, television, and theater actress known for her versatile dramatic roles and collaborations with prominent Polish directors.
  • B. Jolanta Kwaśniewska
    Jolanta Kwaśniewska is a Polish lawyer, charity activist, and former First Lady of Poland known for her social and philanthropic work.
  • C. Agnieszka Osiecka
    Agnieszka Osiecka was a renowned Polish poet, songwriter, and writer, celebrated for her influential lyrics to many classic Polish songs and contributions to postwar Polish culture.
  • D. Gosia Piotrowska
    Gosia Piotrowska is an actress best known for her role in the children's fantasy television series "Spellbinder."
  • E. Michalina Olszańska
    Michalina Olszańska is a Polish actress and singer known for her roles in films such as "The Lure" and "I, Olga Hepnarová."
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577e35f48190b11789d80182653e completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.