Triple

T5810136
Position Surface form Disambiguated ID Type / Status
Subject István E128847 entity
Predicate equivalentNameInFrench P6538 FINISHED
Object Étienne E278724 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: Étienne | Statement: [István, equivalentNameInFrench, Étienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Étienne
Context triple: [István, equivalentNameInFrench, Étienne]
  • A. Étienne chosen
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • B. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Théophile
    Théophile is the given name of Belgian Neo-Impressionist painter Théo van Rysselberghe, a key figure in the development of Pointillism.
  • E. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5189fa210819097ed10fd854d20b1 completed March 26, 2026, 11:29 a.m.
Created at: March 22, 2026, 3:52 p.m.