Triple

T18379523
Position Surface form Disambiguated ID Type / Status
Subject Marcel Renault E446406 entity
Predicate sibling P363 FINISHED
Object Fernande Renault E1321438 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: Fernande Renault | Statement: [Marcel Renault, sibling, Fernande Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernande Renault
Context triple: [Marcel Renault, sibling, Fernande Renault]
  • A. Marie-Berthe Renault chosen
    Marie-Berthe Renault was a member of the prominent Renault family, known primarily as the sister of French automotive pioneer Marcel Renault.
  • B. Fernand Renault
    Fernand Renault was a French industrialist and one of the founding brothers behind the Renault automobile company.
  • C. Madame Arnoux
    Madame Arnoux is the idealized, unattainable love interest of Frédéric Moreau in Gustave Flaubert’s novel "Sentimental Education," embodying romantic longing and moral restraint.
  • D. Edma Pontillon
    Edma Pontillon, born Edma Morisot, was a 19th-century French painter associated with the early Impressionist circle and the sister of renowned artist Berthe Morisot.
  • E. François Voisin
    François Voisin is the bumbling yet resourceful secret agent protagonist of the French comedy film "La Totale!".
  • 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_6a03e23a82348190acde1122b6eb75b0 completed May 13, 2026, 2:30 a.m.
Created at: April 10, 2026, 10:45 a.m.