Triple

T3056712
Position Surface form Disambiguated ID Type / Status
Subject Ginny Newhart E60497 entity
Predicate name P16 FINISHED
Object Ginny Newhart E60497 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: Ginny Newhart | Statement: [Ginny Newhart, name, Ginny Newhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginny Newhart
Context triple: [Ginny Newhart, name, Ginny Newhart]
  • A. Ginny Newhart chosen
    Ginny Newhart was an American homemaker and the longtime wife of comedian and actor Bob Newhart, known for her behind-the-scenes influence on his career and for inspiring key ideas in his television work.
  • B. Carol Burnett
    Carol Burnett is an iconic American comedian, actress, and singer best known for her groundbreaking sketch comedy series "The Carol Burnett Show."
  • C. Fran Drescher
    Fran Drescher is an American actress and comedian best known for starring in the 1990s sitcom "The Nanny" and her distinctive nasal voice and comedic style.
  • D. Jane Leeves
    Jane Leeves is an English actress best known for her role as Daphne Moon on the television sitcom "Frasier."
  • E. Betty White
    Betty White was a beloved American actress and comedian whose eight-decade career in television made her a cultural icon and pioneer for women in entertainment.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf7ebd48190ad5748a18fa9a56a completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2034c337481909c1b1ae304b89c24 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.