Triple

T13276973
Position Surface form Disambiguated ID Type / Status
Subject Émile Reynaud E316215 entity
Predicate familyName P18 FINISHED
Object Reynaud
Reynaud is a French surname borne by various notable figures in fields such as politics, the arts, and science.
 E1031806 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: Reynaud | Statement: [Émile Reynaud, familyName, Reynaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reynaud
Context triple: [Émile Reynaud, familyName, Reynaud]
  • A. Buerger
    Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
  • B. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • C. Trousseau
    Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
  • D. Poictesme
    Poictesme is a fictional medieval French province that serves as the central setting for many of James Branch Cabell’s satirical fantasy novels.
  • E. Jeanjean
    Jeanjean is a French diminutive form of the given name Jean, often used as an affectionate nickname or surname.
  • 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: Reynaud
Triple: [Émile Reynaud, familyName, Reynaud]
Generated description
Reynaud is a French surname borne by various notable figures in fields such as politics, the arts, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reynaud
Target entity description: Reynaud is a French surname borne by various notable figures in fields such as politics, the arts, and science.
  • A. Buerger
    Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
  • B. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • C. Trousseau
    Trousseau is a red wine grape variety from France’s Jura region, known for producing deeply colored, aromatic wines with good structure and aging potential.
  • D. Poictesme
    Poictesme is a fictional medieval French province that serves as the central setting for many of James Branch Cabell’s satirical fantasy novels.
  • E. Jeanjean
    Jeanjean is a French diminutive form of the given name Jean, often used as an affectionate nickname or surname.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f713088cc48190b705336339527f46 completed May 3, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69f713bd94048190a61dbd955bd1c542 completed May 3, 2026, 9:22 a.m.
Created at: April 9, 2026, 9:26 p.m.