Triple

T2349963
Position Surface form Disambiguated ID Type / Status
Subject Bertrand H. Snell E47423 entity
Predicate familyName P18 FINISHED
Object Snell
Snell is a surname of English and German origin borne by various notable individuals in politics, science, and other fields.
 E259129 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: Snell | Statement: [Bertrand H. Snell, familyName, Snell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snell
Context triple: [Bertrand H. Snell, familyName, Snell]
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Schlick
    Schlick is a German surname most notably associated with Moritz Schlick, a leading philosopher and founder of the Vienna Circle.
  • C. Fresnel
    Fresnel is a surname most famously associated with Augustin-Jean Fresnel, the French physicist whose pioneering work on wave optics and the Fresnel lens revolutionized the understanding and application of light.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • 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: Snell
Triple: [Bertrand H. Snell, familyName, Snell]
Generated description
Snell is a surname of English and German origin borne by various notable individuals in politics, science, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snell
Target entity description: Snell is a surname of English and German origin borne by various notable individuals in politics, science, and other fields.
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Schlick
    Schlick is a German surname most notably associated with Moritz Schlick, a leading philosopher and founder of the Vienna Circle.
  • C. Fresnel
    Fresnel is a surname most famously associated with Augustin-Jean Fresnel, the French physicist whose pioneering work on wave optics and the Fresnel lens revolutionized the understanding and application of light.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6cfffc88190b49433f52581420e completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962cb7988190bb2bb23191acf6ae completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae9a035b70819096f2d556fb14313b completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9af22c688190b1c8bb169f5658ca completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:54 p.m.