Triple

T11880152
Position Surface form Disambiguated ID Type / Status
Subject Applause (musical) E282636 entity
Predicate starred P5563 FINISHED
Object Bonnie Franklin E307159 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: Bonnie Franklin | Statement: [Applause (musical), starred, Bonnie Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Franklin
Context triple: [Applause (musical), starred, Bonnie Franklin]
  • A. Bonnie Franklin chosen
    Bonnie Franklin was an American actress best known for her Emmy- and Golden Globe-nominated lead role as single mother Ann Romano on the groundbreaking sitcom "One Day at a Time."
  • B. Bonnie Chalkin
    Bonnie Chalkin is known as the former wife of American actor Judd Hirsch.
  • C. Bonnie Arnold
    Bonnie Arnold is an American film producer best known for her work on pioneering computer-animated features such as Toy Story and the How to Train Your Dragon series.
  • D. Bonnie Erickson
    Bonnie Erickson is an American designer and creative director best known for her work with Jim Henson and for creating iconic mascots such as the Phillie Phanatic.
  • E. Vivian Bonnell
    Vivian Bonnell was an actress known for her work in film and television, including a role in the biographical drama "The Josephine Baker Story."
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:44 p.m.