Triple

T2222584
Position Surface form Disambiguated ID Type / Status
Subject Sir John Copley E48173 entity
Predicate spouse P13 FINISHED
Object Sarah Brunsden
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
 E335667 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: Sarah Brunsden | Statement: [Sir John Copley, spouse, Sarah Brunsden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah Brunsden
Context triple: [Sir John Copley, spouse, Sarah Brunsden]
  • A. Anne Ashmond
    Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
  • B. Julia Biggs
    Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
  • C. Julia Biggs
    Julia Biggs is known as the wife of Reverend Henry Biggs, a clergyman active in religious and community life.
  • D. Ruby Frewen
    Ruby Frewen was the wife of prominent British lawyer and Unionist politician Edward Carson, later Lord Carson.
  • E. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • 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: Sarah Brunsden
Triple: [Sir John Copley, spouse, Sarah Brunsden]
Generated description
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah Brunsden
Target entity description: Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
  • A. Anne Ashmond
    Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
  • B. Julia Biggs
    Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
  • C. Julia Biggs
    Julia Biggs is known as the wife of Reverend Henry Biggs, a clergyman active in religious and community life.
  • D. Ruby Frewen
    Ruby Frewen was the wife of prominent British lawyer and Unionist politician Edward Carson, later Lord Carson.
  • E. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24ab711808190a7da65abdc663cb4 completed March 12, 2026, 5:10 a.m.
NEDg Description generation batch_69b24c78cb408190948f715254175cff completed March 12, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69b24d2ce888819087cc7c3f5db0e859 completed March 12, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:47 p.m.