Triple

T16204857
Position Surface form Disambiguated ID Type / Status
Subject Frank DeFazio E393298 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Edna Babish E404405 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: Edna Babish | Statement: [Frank DeFazio, hasRelationshipWith, Edna Babish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edna Babish
Context triple: [Frank DeFazio, hasRelationshipWith, Edna Babish]
  • A. Edna Babish chosen
    Edna Babish is a recurring character on the sitcom "Laverne & Shirley," known as the girls’ landlady who later marries Laverne’s father, Frank DeFazio.
  • B. Fannie Borach
    Fannie Borach, better known as Fanny Brice, was a celebrated American comedienne, singer, and actress famed for her work in the Ziegfeld Follies and as the inspiration for the musical "Funny Girl."
  • C. Edna Elias
    Edna Elias is a Canadian Inuit educator, language advocate, and former Commissioner of Nunavut known for her work promoting Inuktitut and Inuit culture.
  • D. Edna Unger
    Edna Unger is a fictional character in "The Odd Couple," known as the ex-wife of the fastidious main character Felix Unger.
  • E. Mildred Berk
    Mildred Berk was the wife of Lawrence Berk, founder of the Berklee College of Music, and a partner in the early development of the institution.
  • 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_6a014134601c81909f7f4a95d558e067 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:03 a.m.