Triple

T22274426
Position Surface form Disambiguated ID Type / Status
Subject Les Enfants du marais E550564 entity
Predicate director P255 FINISHED
Object Jean Becker 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: Jean Becker | Statement: [Les Enfants du marais, director, Jean Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Becker
Context triple: [Les Enfants du marais, director, Jean Becker]
  • A. Jean Becker chosen
    Jean Becker is a French film director and screenwriter known for intimate, character-driven dramas such as "One Deadly Summer" and "Conversations with My Gardener."
  • B. John Becker
    John Becker is a fictional, gruff but caring Bronx doctor portrayed by Ted Danson in the American television sitcom "Becker."
  • C. Ben Becker
    Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
  • D. Paula Becker
    Paula Becker, better known as Paula Modersohn-Becker, was a pioneering German painter associated with early Expressionism and recognized as one of the first female artists to paint nude self-portraits.
  • E. Lane Becker
    Lane Becker is an American entrepreneur and author best known as a co-founder of the influential user experience design firm Adaptive Path.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.