Triple

T20487950
Position Surface form Disambiguated ID Type / Status
Subject Raoul Pène Du Bois E502653 entity
Predicate givenName P17 FINISHED
Object Raoul 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: Raoul | Statement: [Raoul Pène Du Bois, givenName, Raoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raoul
Context triple: [Raoul Pène Du Bois, givenName, Raoul]
  • A. Raoul
    Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • B. Raoul chosen
    Raoul is a masculine given name of French origin, notably borne by the Fauvist painter Raoul Dufy.
  • C. Raoul d’Harcourt
    Raoul d’Harcourt was a French nobleman and ecclesiastic of the influential Harcourt family, known for his role in founding the medieval Collège d’Harcourt in Paris.
  • D. Gioffre
    Gioffre is an Italian given name most notably borne by Gioffre Borgia, a younger son of Pope Alexander VI from the influential Borgia family of Renaissance Italy.
  • E. Othon de la Roche
    Othon de la Roche was a Burgundian nobleman and crusader who became the first Latin ruler of Athens after the Fourth Crusade, establishing the de la Roche dynasty there.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.