Triple

T17533528
Position Surface form Disambiguated ID Type / Status
Subject Earl of Kent E426997 entity
Predicate namedAfter P63 FINISHED
Object Kent
Kent is a historic county in southeastern England, often called the "Garden of England" and known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
 E5977 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: Kent | Statement: [Earl of Kent, namedAfter, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kent
Context triple: [Earl of Kent, namedAfter, Kent]
  • A. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • B. Kent
    Kent is a villainous saloon owner and primary antagonist in the classic 1939 Western film "Destry Rides Again."
  • C. Kent
    Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
  • D. Kent
    Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
  • E. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • 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: Kent
Triple: [Earl of Kent, namedAfter, Kent]
Generated description
Kent is a historic county in southeastern England, often called the "Garden of England" and known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kent
Target entity description: Kent is a historic county in southeastern England, often called the "Garden of England" and known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
  • A. Kent chosen
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • B. Kent
    Kent is a small district municipality in British Columbia, Canada, known for its agricultural lands and proximity to the Fraser River.
  • C. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • D. Kent
    Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
  • E. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • F. None of above.

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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536a0f588190ade91d32308897a0 completed April 19, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94e4e208190a241ea586d3f3a38 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca84f3388190aa2eda694f91a17b completed May 11, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a01cb0b3cec8190afc6cf6dd1e4d896 completed May 11, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:49 a.m.