Triple

T14645985
Position Surface form Disambiguated ID Type / Status
Subject Edgar Bergen E343849 entity
Predicate spouse P13 FINISHED
Object Frances Bergen E372607 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 Bergen | Statement: [Edgar Bergen, spouse, Frances Bergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Bergen
Context triple: [Edgar Bergen, spouse, Frances Bergen]
  • A. Frances Bergen chosen
    Frances Bergen was an American actress and fashion model, best known as the wife of ventriloquist Edgar Bergen and the mother of actress Candice Bergen.
  • B. Madeleine McGraw
    Madeleine McGraw is an American child actress known for her roles in films like "The Black Phone" and various television and voice-acting projects.
  • C. Georgia Engel
    Georgia Engel was an American actress best known for her soft-spoken, sweetly quirky roles in television comedies such as "The Mary Tyler Moore Show" and "Everybody Loves Raymond."
  • D. Madelyn Deutch
    Madelyn Deutch is an American actress, writer, and musician known for her work in film and television, including writing and starring in the movie "The Year of Spectacular Men."
  • E. Daphne Rubin-Vega
    Daphne Rubin-Vega is a Panamanian-American actress and singer best known for originating the role of Mimi Márquez in the groundbreaking Broadway musical Rent.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d5d05481908dbb23392c05d23b completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.