Triple

T17340379
Position Surface form Disambiguated ID Type / Status
Subject Bed and Board E421049 entity
Predicate hasLeadActress P6108 FINISHED
Object Claude Jade 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: Claude Jade | Statement: [Bed and Board, hasLeadActress, Claude Jade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claude Jade
Context triple: [Bed and Board, hasLeadActress, Claude Jade]
  • A. Claude Jade chosen
    Claude Jade was a French actress best known for her role as Christine in François Truffaut’s Antoine Doinel film series.
  • B. Claude Luter
    Claude Luter was a prominent French jazz clarinetist and bandleader known for his traditional New Orleans–style performances and close collaborations with American jazz musicians.
  • C. Claude Lancelot
    Claude Lancelot was a 17th-century French grammarian and educator associated with the Port-Royal school, known for his influential works on grammar and language pedagogy.
  • D. Claude Anet
    Claude Anet was a French writer and journalist best known for his novels and travel writings, one of which inspired the film "Love in the Afternoon."
  • E. Claude Beausoleil
    Claude Beausoleil is a cinematographer known for his work on the influential French New Wave film "Cléo from 5 to 7."
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.