Triple

T5713808
Position Surface form Disambiguated ID Type / Status
Subject Beatty E125974 entity
Predicate hasVariant P455 FINISHED
Object Beaty
Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
 E540200 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: Beaty | Statement: [Beatty, hasVariant, Beaty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beaty
Context triple: [Beatty, hasVariant, Beaty]
  • A. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • B. Baney
    Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Beale Farange
    Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
  • E. Beatson
    Beatson is an alternative spelling or variant form of the surname Bateson.
  • 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: Beaty
Triple: [Beatty, hasVariant, Beaty]
Generated description
Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beaty
Target entity description: Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • A. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • B. Baney
    Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Beale Farange
    Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
  • E. Beatson
    Beatson is an alternative spelling or variant form of the surname Bateson.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a74b350819099d8881ef248e1e7 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cfae55c81908658b4b5d5f03c96 completed March 22, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69c05e0720988190bce708c165d861c9 completed March 22, 2026, 9:24 p.m.
Created at: March 22, 2026, 3:46 p.m.