Triple

T16688541
Position Surface form Disambiguated ID Type / Status
Subject Joyce Redman E405530 entity
Predicate name P16 FINISHED
Object Joyce Redman 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: Joyce Redman | Statement: [Joyce Redman, name, Joyce Redman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joyce Redman
Context triple: [Joyce Redman, name, Joyce Redman]
  • A. Joyce Redman chosen
    Joyce Redman was an Irish-born British actress known for her character roles in film, television, and theatre, including acclaimed performances in adaptations of classic literature.
  • B. Joyce Fickett
    Joyce Fickett is a fictional character from the coming-of-age film "A Night in the Life of Jimmy Reardon."
  • C. Joyce Reynolds
    Joyce Reynolds was an American film actress active in the 1940s, known for her youthful roles in Hollywood studio productions.
  • D. Joyce Heath
    Joyce Heath is the troubled, self-destructive former stage star at the center of the 1935 Bette Davis film "Dangerous."
  • E. Joyce Johnston
    Joyce Johnston is known as the wife of American record producer Bob Johnston, who worked with major artists such as Bob Dylan and Johnny Cash.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
Created at: April 10, 2026, 5:19 a.m.