Triple

T16204839
Position Surface form Disambiguated ID Type / Status
Subject Frank DeFazio E393298 entity
Predicate hasChild P369 FINISHED
Object Laverne DeFazio E222504 NE FINISHED

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: Laverne DeFazio | Statement: [Frank DeFazio, hasChild, Laverne DeFazio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laverne DeFazio
Context triple: [Frank DeFazio, hasChild, Laverne DeFazio]
  • A. Laverne DeFazio chosen
    Laverne DeFazio is a tough, wisecracking Milwaukee brewery worker and one of the two main characters on the classic American sitcom "Laverne & Shirley."
  • B. Amy Lofgren
    Amy Lofgren is a music producer best known for her work on the album "Blue with Lou."
  • C. Katharine Daly
    Katharine Daly was the wife of early 20th-century Major League Baseball shortstop Ray Chapman, who played for the Cleveland Indians.
  • D. Connie Snyder
    Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
  • E. Ann Kirkpatrick
    Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f860ecc8190be904fa793968d89 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:03 a.m.