Triple

T12177840
Position Surface form Disambiguated ID Type / Status
Subject Henry Burden E290134 entity
Predicate spouse P13 FINISHED
Object Helen McOuat
Helen McOuat was the wife of Scottish-born Canadian industrialist Henry Burden, known for her connection to his prominent 19th-century iron manufacturing enterprise in Troy, New York.
 E1044267 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: Helen McOuat | Statement: [Henry Burden, spouse, Helen McOuat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen McOuat
Context triple: [Henry Burden, spouse, Helen McOuat]
  • A. Helen Taggart
    Helen Taggart was the wife of American architect Lloyd Wright, son of the famed architect Frank Lloyd Wright.
  • B. Mairi Gougeon
    Mairi Gougeon is a Scottish National Party politician who serves in the Scottish Government cabinet with responsibility for rural affairs.
  • C. Barbara McDougall
    Barbara McDougall is a Canadian politician and former Progressive Conservative cabinet minister who served prominently in federal government roles in the late 20th century.
  • D. Helen Menzies
    Helen Menzies was the wife of British Admiral Sir Bertram Ramsay, a key naval commander during World War II.
  • E. Janet Munro
    Janet Munro was a British actress best known for her roles in several late-1950s and early-1960s Disney films.
  • 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: Helen McOuat
Triple: [Henry Burden, spouse, Helen McOuat]
Generated description
Helen McOuat was the wife of Scottish-born Canadian industrialist Henry Burden, known for her connection to his prominent 19th-century iron manufacturing enterprise in Troy, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen McOuat
Target entity description: Helen McOuat was the wife of Scottish-born Canadian industrialist Henry Burden, known for her connection to his prominent 19th-century iron manufacturing enterprise in Troy, New York.
  • A. Helen Taggart
    Helen Taggart was the wife of American architect Lloyd Wright, son of the famed architect Frank Lloyd Wright.
  • B. Mairi Gougeon
    Mairi Gougeon is a Scottish National Party politician who serves in the Scottish Government cabinet with responsibility for rural affairs.
  • C. Barbara McDougall
    Barbara McDougall is a Canadian politician and former Progressive Conservative cabinet minister who served prominently in federal government roles in the late 20th century.
  • D. Helen Menzies
    Helen Menzies was the wife of British Admiral Sir Bertram Ramsay, a key naval commander during World War II.
  • E. Janet Munro
    Janet Munro was a British actress best known for her roles in several late-1950s and early-1960s Disney films.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75462fe9081908b939a1c6bdba6b9 completed May 3, 2026, 1:57 p.m.
NEDg Description generation batch_69f754d3911881909beb5f90cb8b3b91 completed May 3, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f75510dea481909e52733c55293375 completed May 3, 2026, 2 p.m.
Created at: April 8, 2026, 9:50 p.m.