Triple

T12493149
Position Surface form Disambiguated ID Type / Status
Subject My Favorite Brunette E298614 entity
Predicate screenwriter P2831 FINISHED
Object Edmund Beloin E238352 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: Edmund Beloin | Statement: [My Favorite Brunette, screenwriter, Edmund Beloin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund Beloin
Context triple: [My Favorite Brunette, screenwriter, Edmund Beloin]
  • A. Edmond Thieffry
    Edmond Thieffry was a pioneering Belgian World War I flying ace and aviation trailblazer who later helped establish early commercial air routes for Sabena.
  • B. Edmond Beloin chosen
    Edmond Beloin was an American screenwriter and radio writer known for his work on Hollywood films and popular radio comedies in the mid-20th century.
  • C. Pierre Beauchamp
    Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
  • D. Jean de Gastines
    Jean de Gastines is a French architect best known for co-designing the contemporary art museum Centre Pompidou-Metz.
  • E. Guillaume Guérente
    Guillaume Guérente was a French Renaissance humanist and scholar known for his role as a prominent teacher at the Collège de Guyenne in Bordeaux.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556e9180819084ddb984754b0b54 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.