Triple

T1367808
Position Surface form Disambiguated ID Type / Status
Subject Jean-Paul Agon E30042 entity
Predicate name P16 FINISHED
Object Jean-Paul Agon E30042 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: Jean-Paul Agon | Statement: [Jean-Paul Agon, name, Jean-Paul Agon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Paul Agon
Context triple: [Jean-Paul Agon, name, Jean-Paul Agon]
  • A. Jean-Paul Agon chosen
    Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
  • B. André Marty
    André Marty was a French communist politician and militant who became infamous for his leadership role and harsh disciplinary actions within the International Brigades during the Spanish Civil War.
  • C. Victor Laloux
    Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
  • D. Alain Glavieux
    Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
  • E. Gérard Huet
    Gérard Huet is a French computer scientist known for his influential work in formal methods, type theory, and the development of the Coq proof assistant.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ec74dec8190b26e46c8f472e322 completed March 9, 2026, 8:03 a.m.
Created at: March 1, 2026, 7:57 p.m.