Triple

T20417112
Position Surface form Disambiguated ID Type / Status
Subject Midnight in the Garden of Good and Evil E500740 entity
Predicate castMember P1668 FINISHED
Object Patricia Clarkson 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: Patricia Clarkson | Statement: [Midnight in the Garden of Good and Evil, castMember, Patricia Clarkson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Clarkson
Context triple: [Midnight in the Garden of Good and Evil, castMember, Patricia Clarkson]
  • A. Patricia Clarkson chosen
    Patricia Clarkson is an American actress acclaimed for her versatile performances in film, television, and theater, often in complex supporting roles.
  • B. Mary Bellingham
    Mary Bellingham was the wife of John Bellingham, the man infamous for assassinating British Prime Minister Spencer Perceval in 1812.
  • C. Anne Rennie
    Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
  • D. Marsha Mason
    Marsha Mason is an American actress known for her acclaimed film and stage work, including multiple Academy Award–nominated performances in 1970s and 1980s dramas and romantic comedies.
  • E. Catherine Craig
    Catherine Craig was an American film actress active in the 1940s, known for her supporting roles in Hollywood productions.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.