Triple

T20432031
Position Surface form Disambiguated ID Type / Status
Subject Antoine Santerre E501155 entity
Predicate givenName P17 FINISHED
Object Antoine 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: Antoine | Statement: [Antoine Santerre, givenName, Antoine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoine
Context triple: [Antoine Santerre, givenName, Antoine]
  • A. Antoine
    Antoine was a medieval French nobleman who held the title of Duke of Brabant in the early 15th century.
  • B. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • C. Antoine
    Antoine is a character in Honoré de Balzac’s novel "The Wild Ass's Skin," appearing within its exploration of desire, fate, and the consequences of wish fulfillment.
  • D. Antoine
    Antoine is the given name of French naval officer and explorer Bruni d’Entrecasteaux, known for leading late 18th-century Pacific expeditions.
  • E. Antoine chosen
    Antoine is a French given name, historically common in Francophone countries and borne by numerous notable figures in politics, arts, and science.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685eaa4c8819083d1d7aee0f998a6 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.