Triple

T10258134
Position Surface form Disambiguated ID Type / Status
Subject Pierre Boulanger E240526 entity
Predicate name P16 FINISHED
Object Pierre Boulanger E240526 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: Pierre Boulanger | Statement: [Pierre Boulanger, name, Pierre Boulanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Boulanger
Context triple: [Pierre Boulanger, name, Pierre Boulanger]
  • A. Pierre Boulanger chosen
    Pierre Boulanger is a French actor best known for his breakout role as the young lead in the film "Monsieur Ibrahim."
  • B. Pierre Bossan
    Pierre Bossan was a 19th-century French architect best known for designing the monumental Basilica of Notre-Dame de Fourvière in Lyon.
  • C. Jean Girard
    Jean Girard is the flamboyant, intellectual French Formula One driver and main rival to Ricky Bobby in the comedy film "Talladega Nights: The Ballad of Ricky Bobby."
  • D. Edmond Beloin
    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.
  • E. Firmin Bourgeois
    Firmin Bourgeois was a 19th-century French architect best known for designing the Musée de l’Orangerie in Paris.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e9a9d48190865f047750d7bc6c completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:31 a.m.