Triple

T13873262
Position Surface form Disambiguated ID Type / Status
Subject Raoul Ayrton Meyer Jr. E333510 entity
Predicate givenName P17 FINISHED
Object Raoul E549555 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: Raoul | Statement: [Raoul Ayrton Meyer Jr., givenName, Raoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raoul
Context triple: [Raoul Ayrton Meyer Jr., 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 (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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be4031c8190bef5865ec23b18a0 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6df2ac819089024b9ede7b205f completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.