Triple

T2252292
Position Surface form Disambiguated ID Type / Status
Subject Louis Pouzin E49643 entity
Predicate familyName P18 FINISHED
Object Pouzin
Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
 E247112 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: Pouzin | Statement: [Louis Pouzin, familyName, Pouzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pouzin
Context triple: [Louis Pouzin, familyName, Pouzin]
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Loria
    Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Pouzin
Triple: [Louis Pouzin, familyName, Pouzin]
Generated description
Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pouzin
Target entity description: Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Loria
    Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11eb2708190bc5a3d152a3bb133 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1dd6fc8190bd762fb3a17258b0 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbdef14819084b96389435ca080 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2cfac48190b0425088e79cd122 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.