Triple

T19541499
Position Surface form Disambiguated ID Type / Status
Subject Leon Jaworski E488914 entity
Predicate mother P120 FINISHED
Object Marie Jaworski 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: Marie Jaworski | Statement: [Leon Jaworski, mother, Marie Jaworski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Jaworski
Context triple: [Leon Jaworski, mother, Marie Jaworski]
  • A. Marie Jaworski chosen
    Marie Jaworski was the mother of Leon Jaworski, the prominent American lawyer best known as the Watergate special prosecutor.
  • B. Marie Krackowizer
    Marie Krackowizer was the wife of pioneering anthropologist Franz Boas and a supportive partner in his academic and intellectual life.
  • C. Josephine Poszywak
    Josephine Poszywak was the wife of American labor leader and Teamsters president Jimmy Hoffa.
  • D. Judith Beneski
    Judith Beneski is a notable member of the Beneski family, recognized for her significance within that family lineage.
  • E. Jeanne Biegger
    Jeanne Biegger was an American model and socialite best known as the second wife of entertainer Dean Martin, with whom she shared a highly publicized mid-20th-century Hollywood marriage.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63872fda48190bbb1f465cb7b57fe completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.