Triple

T1549210
Position Surface form Disambiguated ID Type / Status
Subject Lorillard Tobacco Company E33048 entity
Predicate notableProduct P1448 FINISHED
Object Kent
Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
 E175402 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: [Lorillard Tobacco Company, notableProduct, Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kent
Context triple: [Lorillard Tobacco Company, notableProduct, 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 county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
  • C. Kent, England
    Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
  • D. Scotland, Missouri
    Scotland, Missouri is a small unincorporated rural community located in Jasper County in the southwestern part of the state.
  • E. Yorkshire
    Yorkshire is a historic county in northern England known for its large size, distinctive cultural identity, and significant role in British political, industrial, and literary 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: Kent
Triple: [Lorillard Tobacco Company, notableProduct, Kent]
Generated description
Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kent
Target entity description: Kent is a brand of filtered cigarettes historically marketed as a "safer" smoking option and produced by the Lorillard Tobacco Company.
  • A. Kent
    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 suburban city in King County, Washington, known as a residential and industrial hub within the greater Seattle metropolitan area.
  • C. Kent, England
    Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
  • D. Scotland, Missouri
    Scotland, Missouri is a small unincorporated rural community located in Jasper County in the southwestern part of the state.
  • E. Yorkshire
    Yorkshire is a historic county in northern England known for its large size, distinctive cultural identity, and significant role in British political, industrial, and literary 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90857bfb48190a2d66a601d228b72 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad308dba548190b81999135210cc96 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad314a47fc8190aa9ad017b87d48b0 completed March 8, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_69ad31a17f5c8190b0d56b449f79cca5 completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.