Triple

T20002175
Position Surface form Disambiguated ID Type / Status
Subject Alexandre Bonaparte E494359 entity
Predicate hasGivenName P17 FINISHED
Object Alexandre 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: Alexandre | Statement: [Alexandre Bonaparte, hasGivenName, Alexandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre
Context triple: [Alexandre Bonaparte, hasGivenName, Alexandre]
  • A. Alexandre chosen
    Alexandre is a given name of Greek origin, commonly used in French and Portuguese-speaking countries as a form of Alexander.
  • B. Alexandre François
    Alexandre François is a French linguist and field researcher known for his extensive work documenting and analyzing the languages of Vanuatu and other Oceanic regions.
  • C. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • D. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • E. Maximilien
    Maximilien is the given name of Maximilien Robespierre, a leading figure of the French Revolution and key architect of the Reign of Terror.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a2e34481908a495cc5d077c41f completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.