Triple

T6925091
Position Surface form Disambiguated ID Type / Status
Subject Alexandre Pétion E160285 entity
Predicate givenName P17 FINISHED
Object Alexandre E42018 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: Alexandre | Statement: [Alexandre Pétion, givenName, Alexandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre
Context triple: [Alexandre Pétion, givenName, 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. Maximilien
    Maximilien is the given name of Maximilien Robespierre, a leading figure of the French Revolution and key architect of the Reign of Terror.
  • E. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7513fddd88190b99c4b7e3364d218 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.