Triple

T18379518
Position Surface form Disambiguated ID Type / Status
Subject Marcel Renault E446406 entity
Predicate sibling P363 FINISHED
Object Fernand Renault E447885 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: Fernand Renault | Statement: [Marcel Renault, sibling, Fernand Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernand Renault
Context triple: [Marcel Renault, sibling, Fernand Renault]
  • A. Fernand Renault chosen
    Fernand Renault was a French industrialist and one of the founding brothers behind the Renault automobile company.
  • B. Louis Renault
    Louis Renault was a pioneering French industrialist and automotive engineer who co-founded the Renault car company and helped shape the early automobile industry.
  • 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 (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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f09c1bc881908f54a704dfd164c9 completed May 13, 2026, 3:31 a.m.
Created at: April 10, 2026, 10:45 a.m.