Triple

T23091258
Position Surface form Disambiguated ID Type / Status
Subject Cicely Kent E575754 entity
Predicate familyName P18 FINISHED
Object Kent
Kent is an English surname with historical roots in the county of Kent in southeastern England and is borne by numerous notable individuals across various fields.
E575754 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: [Cicely Kent, familyName, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent
Context triple: [Cicely Kent, familyName, 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 masculine given name of English origin, traditionally associated with the English county of Kent and meaning "edge" or "borderland."
  • E. Kent
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • 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: [Cicely Kent, familyName, Kent]
Generated description
Kent is an English surname with historical roots in the county of Kent in southeastern England and is borne by numerous notable individuals across various fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kent
Target entity description: Kent is an English surname with historical roots in the county of Kent in southeastern England and is borne by numerous notable individuals across various fields.
  • A. Kent chosen
    Kent is a common English surname borne by numerous notable individuals across fields such as art, politics, and entertainment.
  • B. Kent
    Kent is a masculine given name of English origin, traditionally associated with the English county of Kent and meaning "edge" or "borderland."
  • C. Kent
    Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • D. Kent
    Kent is a common English surname famously associated with the adoptive family of Superman in DC Comics, including Jonathan and Martha Kent.
  • E. Kent
    Kent is a suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dac48dc8190b985ce6b1730fe63 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5edefb448190b2ee53becb7bcb8d completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5f58dd448190bdf6674d65098c3f completed May 19, 2026, 1:02 p.m.
Created at: April 17, 2026, 3:57 p.m.