Triple

T20807871
Position Surface form Disambiguated ID Type / Status
Subject The Buccaneer (1958 film) E512211 entity
Predicate hasCastMember P2308 FINISHED
Object Claire Bloom 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: Claire Bloom | Statement: [The Buccaneer (1958 film), hasCastMember, Claire Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Bloom
Context triple: [The Buccaneer (1958 film), hasCastMember, Claire Bloom]
  • A. Claire Bloom chosen
    Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
  • B. Wendy Hiller
    Wendy Hiller was an acclaimed English stage and film actress known for her nuanced, often understated performances in classics such as "Pygmalion" and "Separate Tables."
  • C. Joan Sims
    Joan Sims was a prolific English comedy actress best known for her roles in the "Carry On" film series and numerous British television and stage productions.
  • D. Catherine Craig
    Catherine Craig was an American film actress active in the 1940s, known for her supporting roles in Hollywood productions.
  • E. Anna Chancellor
    Anna Chancellor is a British actress known for her work in film, television, and theatre, including notable roles in productions such as "Four Weddings and a Funeral" and various acclaimed TV dramas.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d0a2a081908fb0e3d890e87aaf completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.