Triple

T1520077
Position Surface form Disambiguated ID Type / Status
Subject Raoul Wallenberg E32206 entity
Predicate givenName P17 FINISHED
Object Raoul E143826 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 Wallenberg, givenName, Raoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raoul
Context triple: [Raoul Wallenberg, givenName, Raoul]
  • A. Raoul chosen
    Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • B. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • C. Raoul de Bragelonne
    Raoul de Bragelonne is a fictional nobleman and soldier in Alexandre Dumas’ d’Artagnan Romances, best known as the devoted son of Athos and the title character of the novel "The Vicomte de Bragelonne."
  • D. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • E. Gaston de Blondeville
    Gaston de Blondeville is a historical Gothic romance novel by Ann Radcliffe, set in medieval England and blending chivalric adventure with supernatural elements.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eeca38819096d5696922449638 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401616ec81908edd9dcb9f4a0184 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.