Triple

T22820874
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo Kopechne E565225 entity
Predicate familyName P18 FINISHED
Object Kopechne 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: Kopechne | Statement: [Mary Jo Kopechne, familyName, Kopechne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kopechne
Context triple: [Mary Jo Kopechne, familyName, Kopechne]
  • A. Kopechne chosen
    Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
  • B. Kocian
    Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
  • C. Kopřivnice
    Kopřivnice is a town in the Moravian-Silesian Region of the Czech Republic, known for its automotive industry and as the birthplace of legendary long-distance runner Emil Zátopek.
  • D. Komazec
    Komazec is a Serbian surname most notably associated with former professional basketball player Arijan Komazec.
  • E. Pokorný
    Pokorný is a Czech surname commonly borne by individuals of Czech and Slovak origin.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcffdd88190a5f9c780c71b5053 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.