Triple

T6241508
Position Surface form Disambiguated ID Type / Status
Subject Jean-Baptiste Jourdan E139612 entity
Predicate familyName P18 FINISHED
Object Jourdan
Jourdan is a French surname most notably borne by Jean-Baptiste Jourdan, a prominent general of the French Revolutionary Wars.
 E578927 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: Jourdan | Statement: [Jean-Baptiste Jourdan, familyName, Jourdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jourdan
Context triple: [Jean-Baptiste Jourdan, familyName, Jourdan]
  • A. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Hayden
    Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
  • D. Madyson
    Madyson is a modern English given name, typically a feminine variant of the name Madison.
  • E. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • 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: Jourdan
Triple: [Jean-Baptiste Jourdan, familyName, Jourdan]
Generated description
Jourdan is a French surname most notably borne by Jean-Baptiste Jourdan, a prominent general of the French Revolutionary Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jourdan
Target entity description: Jourdan is a French surname most notably borne by Jean-Baptiste Jourdan, a prominent general of the French Revolutionary Wars.
  • A. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Hayden
    Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
  • D. Madyson
    Madyson is a modern English given name, typically a feminine variant of the name Madison.
  • E. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0630797f88190a5571f6000ba2e3b completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e07bff8819091ca881c9b4daaf6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c214aaef308190be1166c1389bf3d3 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c21508dbec8190b9bb4806a83ecb13 completed March 24, 2026, 4:37 a.m.
Created at: March 22, 2026, 4:23 p.m.