Triple

T2804396
Position Surface form Disambiguated ID Type / Status
Subject John Frederick Kensett E54017 entity
Predicate familyName P18 FINISHED
Object Kensett
Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
 E299590 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: Kensett | Statement: [John Frederick Kensett, familyName, Kensett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kensett
Context triple: [John Frederick Kensett, familyName, Kensett]
  • A. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • B. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • C. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Blandy
    Blandy is a surname most notably associated with U.S. Navy Admiral William H. P. Blandy, a key figure in mid-20th-century American naval history.
  • 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: Kensett
Triple: [John Frederick Kensett, familyName, Kensett]
Generated description
Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kensett
Target entity description: Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Blandy
    Blandy is a surname most notably associated with U.S. Navy Admiral William H. P. Blandy, a key figure in mid-20th-century American naval history.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc674217c81908177b088cc824e7b completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc863133c8190b129a55f8d28966f completed March 10, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69afc8d43e608190b33159a464dc2e8c completed March 10, 2026, 7:31 a.m.
Created at: March 6, 2026, 9:59 p.m.