Triple

T18379576
Position Surface form Disambiguated ID Type / Status
Subject RNO E446407 entity
Predicate underlyingCompanyFounders P46924 FINISHED
Object Louis Renault 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: Louis Renault | Statement: [RNO, underlyingCompanyFounders, Louis Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Renault
Context triple: [RNO, underlyingCompanyFounders, Louis Renault]
  • A. Louis Renault chosen
    Louis Renault was a pioneering French industrialist and automotive engineer who co-founded the Renault car company and helped shape the early automobile industry.
  • B. Fernand Renault
    Fernand Renault was a French industrialist and one of the founding brothers behind the Renault automobile company.
  • C. Alfred Renault
    Alfred Renault was the father of French automotive pioneer Marcel Renault and a member of the family behind the founding of the Renault car company.
  • D. André Citroën
    André Citroën was a pioneering French industrialist and engineer best known for founding the Citroën automobile company and revolutionizing mass car production in Europe.
  • E. Armand Peugeot
    Armand Peugeot was a French industrialist and pioneer of the automobile industry who transformed his family’s metalworking business into the Peugeot car manufacturing company.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.