Triple

T22820873
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo Kopechne E565225 entity
Predicate givenName P17 FINISHED
Object Mary Jo 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: Mary Jo | Statement: [Mary Jo Kopechne, givenName, Mary Jo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Jo
Context triple: [Mary Jo Kopechne, givenName, Mary Jo]
  • A. Mary Jo chosen
    Mary Jo is the given name of Mary Jo Kopechne, the young political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • B. Mary Jo
    Mary Jo is the first and middle name of American poet, editor, and academic Mary Jo Salter.
  • C. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • D. Mary Lynn
    Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
  • E. Mary Lou
    Mary Lou is a popular Israeli musical film written and composed by Svika Pick, inspired by his songs and centered on themes of identity and self-discovery.
  • 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.