Triple

T2295331
Position Surface form Disambiguated ID Type / Status
Subject Marc-André Fleury E51599 entity
Predicate familyName P18 FINISHED
Object Fleury
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
 E253630 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: Fleury | Statement: [Marc-André Fleury, familyName, Fleury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fleury
Context triple: [Marc-André Fleury, familyName, Fleury]
  • A. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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: Fleury
Triple: [Marc-André Fleury, familyName, Fleury]
Generated description
Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fleury
Target entity description: Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
  • A. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae7fd6e8608190b48f3a50ee62d664 completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae804b402c81909a5fc68c6ee3decb completed March 9, 2026, 8:09 a.m.
Created at: March 4, 2026, 7:49 p.m.