Triple

T13840802
Position Surface form Disambiguated ID Type / Status
Subject Lido de Paris E332649 entity
Predicate foundedBy P104 FINISHED
Object Louis Clerico E65642 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: Louis Clerico | Statement: [Lido de Paris, foundedBy, Louis Clerico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Clerico
Context triple: [Lido de Paris, foundedBy, Louis Clerico]
  • A. Joseph Clerico chosen
    Joseph Clerico was a French impresario best known for co-founding and developing the famed Lido de Paris cabaret into one of Paris’s most iconic nightlife institutions.
  • B. Jean-Claude Brialy
    Jean-Claude Brialy was a prominent French actor and director closely associated with the French New Wave cinema movement.
  • C. Jean Rochon
    Jean Rochon was a Canadian physician and politician best known for serving as Quebec’s Minister of Health and Social Services and for leading major health system reforms in the province.
  • D. Bob Dernier
    Bob Dernier is a former Major League Baseball center fielder best known for his speed, defense, and role as a leadoff hitter with the Chicago Cubs in the 1980s.
  • E. Marc Ferraro
    Marc Ferraro is an individual notable enough to be recognized as a namesake of the surname Ferraro, though specific widely known public details about him are limited.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ef9e7c8190b96c2b83d04708e1 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.