Triple

T23368878
Position Surface form Disambiguated ID Type / Status
Subject Betty Jane France E593404 entity
Predicate name P16 FINISHED
Object Betty Jane France 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: Betty Jane France | Statement: [Betty Jane France, name, Betty Jane France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Jane France
Context triple: [Betty Jane France, name, Betty Jane France]
  • A. Betty Jane France chosen
    Betty Jane France was an American businesswoman and philanthropist best known as a key member of NASCAR’s founding family and the widow of longtime NASCAR chairman Bill France Jr.
  • B. Jeanne Fort
    Jeanne Fort was the wife of Italian Futurist painter Gino Severini and a figure connected to the early 20th-century Parisian art world.
  • C. Jeanette Bonnier
    Jeanette Bonnier was a Swedish publisher, art patron, and media executive, known for her influential role in the Bonnier media empire and her contributions to contemporary art.
  • D. Betty Francis
    Betty Francis is the married name of Betty Draper, a central character and Don Draper’s ex-wife in the television series "Mad Men."
  • E. Josephine Fricker
    Josephine Fricker was the wife of British author Hugh Lofting, best known for creating the Doctor Dolittle series.
  • 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.