Triple

T21855897
Position Surface form Disambiguated ID Type / Status
Subject December Bride E539624 entity
Predicate hasCastMember P2308 FINISHED
Object Frances Rafferty 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: Frances Rafferty | Statement: [December Bride, hasCastMember, Frances Rafferty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Rafferty
Context triple: [December Bride, hasCastMember, Frances Rafferty]
  • A. Frances Rafferty chosen
    Frances Rafferty was an American actress and dancer best known for her roles in 1940s MGM musicals and later in the television series "December Bride."
  • B. Kathleen Crowley
    Kathleen Crowley was an American film and television actress known for her numerous roles in 1950s and 1960s Westerns and genre films.
  • C. Colleen Conway Grogan
    Colleen Conway Grogan is a film and television producer best known for her work as an executive producer on documentary and independent projects.
  • D. Nancy O’Malley
    Nancy O’Malley is an American prosecutor known for serving as the elected District Attorney of Alameda County, California, and for her work on criminal justice reform and victim advocacy.
  • E. Donna Reardon
    Donna Reardon is a Canadian municipal politician who serves as the mayor of Saint John, New Brunswick.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d635b59c81908810480f3802b847 completed April 28, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:56 p.m.