Triple

T23305162
Position Surface form Disambiguated ID Type / Status
Subject Stéphane Dion E590415 entity
Predicate givenName P17 FINISHED
Object Stéphane 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: Stéphane | Statement: [Stéphane Dion, givenName, Stéphane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stéphane
Context triple: [Stéphane Dion, givenName, Stéphane]
  • A. Stéphane chosen
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • B. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • C. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.