Triple

T10076731
Position Surface form Disambiguated ID Type / Status
Subject Harry Kesten E213782 entity
Predicate familyName P18 FINISHED
Object Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
 E839307 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: Kesten | Statement: [Harry Kesten, familyName, Kesten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kesten
Context triple: [Harry Kesten, familyName, Kesten]
  • A. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • 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: Kesten
Triple: [Harry Kesten, familyName, Kesten]
Generated description
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kesten
Target entity description: Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
  • A. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29c98e470819098bdf9fa51f40d1f completed April 5, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69d29d0190988190891c264556856f60 completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:59 p.m.