Triple

T6905189
Position Surface form Disambiguated ID Type / Status
Subject Charles Richet E159794 entity
Predicate familyName P18 FINISHED
Object Richet
Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
 E626781 NE FINISHED

How this triple was built (4 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: Richet | Statement: [Charles Richet, familyName, Richet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richet
Context triple: [Charles Richet, familyName, Richet]
  • A. Haroche
    Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
  • B. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • C. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Richet
Triple: [Charles Richet, familyName, Richet]
Generated description
Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richet
Target entity description: Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
  • A. Haroche
    Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
  • B. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • C. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • F. None of above. chosen

Provenance (5 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749901de081908e5c3ccd324e8191 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c74a0bcddc819084b22925cf57a205 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:25 p.m.