Triple

T17914249
Position Surface form Disambiguated ID Type / Status
Subject Fernand Renault E447885 entity
Predicate sibling P363 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: [Fernand Renault, sibling, Louis Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Renault
Context triple: [Fernand Renault, sibling, 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. 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.
  • D. 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.
  • E. Bernard Renault
    Bernard Renault is a character from the television series "Twin Peaks," known as a shady associate involved in the town’s criminal underworld.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.