Triple

T5143126
Position Surface form Disambiguated ID Type / Status
Subject Moon Bloodgood E116005 entity
Predicate modelingClient P61796 FINISHED
Object Avon
Avon is a global beauty and personal care company best known for its direct-selling model and extensive range of cosmetics, skincare, and fragrance products.
 E498079 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: Avon | Statement: [Moon Bloodgood, modelingClient, Avon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avon
Context triple: [Moon Bloodgood, modelingClient, Avon]
  • A. Avon
    Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
  • B. Avon
    Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • C. Avon
    Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
  • D. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • E. Weston
    Weston is a small coastal village on the Isle of Portland in Dorset, England, known for its traditional stone cottages and proximity to dramatic Jurassic Coast scenery.
  • 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: Avon
Triple: [Moon Bloodgood, modelingClient, Avon]
Generated description
Avon is a global beauty and personal care company best known for its direct-selling model and extensive range of cosmetics, skincare, and fragrance products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avon
Target entity description: Avon is a global beauty and personal care company best known for its direct-selling model and extensive range of cosmetics, skincare, and fragrance products.
  • A. Avon
    Avon is a small town in Norfolk County, Massachusetts, known for its suburban character and proximity to the Greater Boston area.
  • B. Avon
    Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
  • C. Avon
    Avon is a suburban city in northeastern Ohio, known for its residential communities, retail development, and proximity to the Cleveland metropolitan area.
  • D. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • E. Weston
    Weston is a small coastal village on the Isle of Portland in Dorset, England, known for its traditional stone cottages and proximity to dramatic Jurassic Coast scenery.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd846dfb908190827fbee5a5ae55e2 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfec5c108190a3882c25118179a7 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed07c9cd081908f8246e24b2f6458 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed1013fe88190b76855a042226359 completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:43 p.m.