Triple

T14990441
Position Surface form Disambiguated ID Type / Status
Subject From Prada to Nada E373819 entity
Predicate castMember P1668 FINISHED
Object April Bowlby E408606 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: April Bowlby | Statement: [From Prada to Nada, castMember, April Bowlby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: April Bowlby
Context triple: [From Prada to Nada, castMember, April Bowlby]
  • A. April Bowlby chosen
    April Bowlby is an American actress best known for her television roles in series such as Drop Dead Diva, Two and a Half Men, and Doom Patrol.
  • B. Ann Belsky
    Ann Belsky was a costume designer and the late wife of Canadian actor Rick Moranis.
  • C. John Bowlby
    John Bowlby was a British psychiatrist and psychoanalyst best known for developing attachment theory, which transformed understanding of child development and the impact of early relationships on later mental health.
  • D. Michael Tronick
    Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
  • E. Donald Winnicott
    Donald Winnicott was a British pediatrician and psychoanalyst known for his influential theories on child development, including the concepts of the "good enough mother," the "transitional object," and the "true and false self."
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.