Triple

T3818916
Position Surface form Disambiguated ID Type / Status
Subject Aunt Bee Taylor E84323 entity
Predicate portrayedBy P1507 FINISHED
Object Frances Bavier E118559 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: Frances Bavier | Statement: [Aunt Bee Taylor, portrayedBy, Frances Bavier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Bavier
Context triple: [Aunt Bee Taylor, portrayedBy, Frances Bavier]
  • A. Frances Bavier chosen
    Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
  • B. Lucille Bliss
    Lucille Bliss was an American voice actress best known for her work in classic animated films and television, including early Disney productions and the original Smurfs series.
  • C. Sally Fitzgerald
    Sally Fitzgerald was an American literary editor and scholar best known for her work on the writings and letters of Flannery O’Connor.
  • D. Barbara Rush
    Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
  • E. June Barker
    June Barker is a notable member of the Wiradjuri people, recognized for her contributions to Aboriginal Australian culture and community.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f59af660819083785bda45935ae4 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:17 p.m.