Triple

T10010008
Position Surface form Disambiguated ID Type / Status
Subject The Lemon Drop Kid E198346 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: [The Lemon Drop Kid, screenwriter, Edmund Beloin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund Beloin
Context triple: [The Lemon Drop Kid, 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. Joseph Brocherel
    Joseph Brocherel was an Italian mountaineer known for participating in the pioneering ascent of Mount Kenya.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0bab488190ac227259232d004a completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:52 p.m.