Triple

T23368886
Position Surface form Disambiguated ID Type / Status
Subject Betty Jane France E593404 entity
Predicate relative P37 FINISHED
Object Lesa France Kennedy 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: Lesa France Kennedy | Statement: [Betty Jane France, relative, Lesa France Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesa France Kennedy
Context triple: [Betty Jane France, relative, Lesa France Kennedy]
  • A. Lesa France Kennedy chosen
    Lesa France Kennedy is a prominent American motorsports executive who serves as a key leader in NASCAR and the France family’s racing enterprises.
  • B. Cheryl Kennedy
    Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
  • C. Lori Fortier
    Lori Fortier is an American woman known for her involvement as a key witness and accomplice in the events surrounding the 1995 Oklahoma City bombing.
  • D. Valerie O'Herlihy
    Valerie O'Herlihy is known as the wife of Irish-born television and film director Michael O'Herlihy.
  • E. Erin Kennedy
    Erin Kennedy is an American television news anchor and reporter best known for her work with CBS-affiliated stations, including WBZ-TV in Boston and WBBM-TV in Chicago.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.