Triple

T18372130
Position Surface form Disambiguated ID Type / Status
Subject Mary Bono E446206 entity
Predicate name P16 FINISHED
Object Mary Bono 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 Bono | Statement: [Mary Bono, name, Mary Bono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Bono
Context triple: [Mary Bono, name, Mary Bono]
  • A. Mary Bono chosen
    Mary Bono is an American politician and former U.S. Representative from California, known for succeeding her late husband Sonny Bono in Congress and for her work on intellectual property and technology-related legislation.
  • B. Christie Bono
    Christie Bono is the daughter of the late American singer, actor, and politician Sonny Bono.
  • C. Amy Aquino
    Amy Aquino is an American actress known for her work in film and television, including prominent roles in series such as "Bosch" and "ER."
  • D. Patty Quillin Hastings
    Patty Quillin Hastings is a philanthropist and film producer best known as the wife of Netflix co-founder and former CEO Reed Hastings.
  • E. Linda Jean Córdova Carter
    Linda Jean Córdova Carter is an American actress, singer, and former Miss World USA best known for portraying the title character in the 1970s television series "Wonder Woman."
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51754539c819083f13b85cacb6cce completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:44 a.m.