Triple

T22820909
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo E565225 entity
Predicate usedBy P260 FINISHED
Object Mary Jo 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: Mary Jo Kopechne | Statement: [Mary Jo, usedBy, Mary Jo Kopechne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Jo Kopechne
Context triple: [Mary Jo, usedBy, Mary Jo Kopechne]
  • A. Mary Jo Kopechne chosen
    Mary Jo Kopechne was a young political campaign worker and former aide to Senator Robert F. Kennedy whose death in 1969 at Chappaquiddick Island became the center of a major political scandal involving Senator Ted Kennedy.
  • B. Mary Jo Campbell
    Mary Jo Campbell is the mother of Kristen Mary Houghton (Kris Jenner) and the maternal grandmother of the Kardashian-Jenner family.
  • C. Mary Jo Tarola
    Mary Jo Tarola, better known by her stage name Linda Douglas, was an American film actress who appeared in several Hollywood productions during the 1950s.
  • D. Mary Ann Winkowski
    Mary Ann Winkowski is a self-described real-life ghost whisperer and paranormal consultant whose experiences with spirits inspired the television series "Ghost Whisperer."
  • E. Mary Jo Keenen
    Mary Jo Keenen is an American actress known for her television work in the 1980s and 1990s, including roles on series such as "Nurses" and "City."
  • 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.