Triple

T2008215
Position Surface form Disambiguated ID Type / Status
Subject Blue Skies E43632 entity
Predicate leadActress P6108 FINISHED
Object Joan Caulfield E256406 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: Joan Caulfield | Statement: [Blue Skies, leadActress, Joan Caulfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Caulfield
Context triple: [Blue Skies, leadActress, 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. 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.
  • C. Audrey Harrison
    Audrey Harrison was the mother of British historian Charles Townshend, known for his work on modern Irish and British political history.
  • D. Celeste Holm
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • E. Betty Garrett
    Betty Garrett was an American actress, comedian, singer, and dancer known for her energetic performances in mid-20th-century Hollywood musicals and later in popular television sitcoms.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95eb4db481909ab7507147f1d674 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:37 p.m.