Triple

T11699768
Position Surface form Disambiguated ID Type / Status
Subject Alexandre d'Arblay E278091 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 d'Arblay, givenName, Alexandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandre
Context triple: [Alexandre d'Arblay, 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. Alexandre-Théodore
    Alexandre-Théodore Brongniart was a prominent French neoclassical architect best known for designing the Paris Bourse (Palais Brongniart).
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47df68c81908a91919a69b4880d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef833084988190b5004c93f68dc628 completed April 27, 2026, 3:39 p.m.
Created at: April 8, 2026, 9:40 p.m.