Triple

T3782795
Position Surface form Disambiguated ID Type / Status
Subject Juste pour rire E85458 entity
Predicate founder P104 FINISHED
Object Gilbert Rozon E162936 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: Gilbert Rozon | Statement: [Juste pour rire, founder, Gilbert Rozon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbert Rozon
Context triple: [Juste pour rire, founder, Gilbert Rozon]
  • A. Gilbert Rozon chosen
    Gilbert Rozon is a Canadian entertainment producer best known as the controversial founder of the international comedy festival Just for Laughs.
  • B. Claude Gilbert
    Claude Gilbert is an American football coach best known for leading San Diego State University's program to national prominence in the 1970s.
  • C. Henri Ciriani
    Henri Ciriani is a Peruvian-born French architect known for his influential modernist housing and museum designs and his significant role in contemporary French architecture.
  • D. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • E. Alain Chevalier
    Alain Chevalier was a French businessman best known as a co-founder and early architect of the luxury goods conglomerate LVMH.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124d359ec819086420b7e00b8d630 completed March 23, 2026, 11:32 a.m.
Created at: March 9, 2026, 3:13 p.m.