Triple

T15857562
Position Surface form Disambiguated ID Type / Status
Subject Compagnie Générale de Télégraphie Sans Fil E384499 entity
Predicate foundedBy P104 FINISHED
Object Pierre Azaria E284508 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: Pierre Azaria | Statement: [Compagnie Générale de Télégraphie Sans Fil, foundedBy, Pierre Azaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Azaria
Context triple: [Compagnie Générale de Télégraphie Sans Fil, foundedBy, Pierre Azaria]
  • A. Pierre Azaria chosen
    Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
  • B. Olivier Azam
    Olivier Azam is a former French rugby union hooker best known for his long club career with Gloucester Rugby and his appearances for the French national team.
  • C. Emmanuel Héré
    Emmanuel Héré was an 18th-century French architect best known for his influential work in Nancy, where he helped shape some of the finest examples of French classical urban design.
  • D. Joseph Mazilier
    Joseph Mazilier was a 19th-century French ballet dancer, choreographer, and ballet master known for creating several major Romantic ballets.
  • E. Michel Elie
    Michel Elie is a French computer scientist known for his pioneering role in the development of early packet-switching networks, notably through his work on the CYCLADES project.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555808688190882b610109d1e5f4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe469012481908fd9955c72e756a3 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:50 a.m.