Triple

T20488517
Position Surface form Disambiguated ID Type / Status
Subject Frank Ross E502675 entity
Predicate spouse P13 FINISHED
Object Joan Caulfield NE NERFINISHED

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: Joan Caulfield | Statement: [Frank Ross, spouse, Joan Caulfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Caulfield
Context triple: [Frank Ross, spouse, Joan Caulfield]
  • A. Joan Caulfield chosen
    Joan Caulfield was an American film and television actress best known for her roles in 1940s and 1950s Hollywood romantic comedies and dramas.
  • B. Marion Jacobs
    Marion Jacobs is the birth name of Little Walter, the influential American blues harmonica player and singer known for revolutionizing amplified harmonica in Chicago blues.
  • C. Marjorie Main
    Marjorie Main was an American character actress best known for her comedic, no-nonsense roles in classic Hollywood films, particularly as Ma Kettle in the "Ma and Pa Kettle" series.
  • D. Shelly Breen
    Shelly Breen is a contemporary Christian music singer best known as a member of the vocal group Point of Grace.
  • E. Nat Jaffe
    Nat Jaffe is a central character in Michael Chabon’s novel "Telegraph Avenue," depicted as one of the intertwined figures navigating family, culture, and community in contemporary Oakland and Berkeley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.