Triple

T21092723
Position Surface form Disambiguated ID Type / Status
Subject Bienvenue chez les Ch’tis E519674 entity
Predicate screenplayBy P15305 FINISHED
Object Alexandre Charlot 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: Alexandre Charlot | Statement: [Bienvenue chez les Ch’tis, screenplayBy, Alexandre Charlot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre Charlot
Context triple: [Bienvenue chez les Ch’tis, screenplayBy, Alexandre Charlot]
  • A. Alexandre Charlot chosen
    Alexandre Charlot is a French screenwriter best known for co-writing popular comedies such as "Bienvenue chez les Ch’tis."
  • B. Jacques Hébertot
    Jacques Hébertot was a French theater director, journalist, and cultural entrepreneur known for his influential role in early 20th-century Parisian arts and entertainment.
  • C. Émile Nouguier
    Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
  • D. Luc Béraud
    Luc Béraud is a French screenwriter and film director known for his work on numerous acclaimed French films since the 1970s.
  • E. Henri Gauthier
    Henri Gauthier was a French Egyptologist known for his archaeological surveys and studies of ancient Egyptian sites and inscriptions.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70950a31c8190bde2d7b414c362c7 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.