Triple

T6711028
Position Surface form Disambiguated ID Type / Status
Subject William Albert Swasey E153139 entity
Predicate familyName P18 FINISHED
Object Swasey
Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
 E612760 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: Swasey | Statement: [William Albert Swasey, familyName, Swasey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swasey
Context triple: [William Albert Swasey, familyName, Swasey]
  • A. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • B. Whitworth
    Whitworth is a small town in Lancashire, England, situated in the Rossendale Valley between Rochdale and Bacup.
  • C. Spreckels
    Spreckels is a prominent American family name historically associated with major sugar industry enterprises and philanthropy, particularly in California.
  • D. Gleason Works
    Gleason Works is an American manufacturing company best known for its pioneering machine tools and technologies for producing gears and related power transmission components.
  • E. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • 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: Swasey
Triple: [William Albert Swasey, familyName, Swasey]
Generated description
Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swasey
Target entity description: Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
  • A. Carnegie
    Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
  • B. Whitworth
    Whitworth is a small town in Lancashire, England, situated in the Rossendale Valley between Rochdale and Bacup.
  • C. Spreckels
    Spreckels is a prominent American family name historically associated with major sugar industry enterprises and philanthropy, particularly in California.
  • D. Gleason Works
    Gleason Works is an American manufacturing company best known for its pioneering machine tools and technologies for producing gears and related power transmission components.
  • E. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701db4eb081908db6dd22fbfb28d1 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7026529ec81909479b826efb5eb54 completed March 27, 2026, 10:19 p.m.
Created at: March 27, 2026, 2:06 p.m.