Triple

T7454043
Position Surface form Disambiguated ID Type / Status
Subject Karl Pearson E172073 entity
Predicate spouse P13 FINISHED
Object Maria Sharpe
Maria Sharpe was the wife of influential British statistician Karl Pearson and a supportive figure in his personal and professional life.
 E665241 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: Maria Sharpe | Statement: [Karl Pearson, spouse, Maria Sharpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maria Sharpe
Context triple: [Karl Pearson, spouse, Maria Sharpe]
  • A. Sarah Cox
    Sarah Cox was the wife of Australian explorer, politician, and author William Charles Wentworth, connecting her to one of the most prominent colonial figures in early New South Wales history.
  • B. Kelly Lynch
    Kelly Lynch is an American actress known for her roles in films such as "Drugstore Cowboy," "Road House," and various television series.
  • C. Catherine McDougall
    Catherine McDougall is a person known primarily as the child of Alexander McDougall.
  • D. Rachel Ward
    Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
  • E. Elizabeth Wilson
    Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
  • 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: Maria Sharpe
Triple: [Karl Pearson, spouse, Maria Sharpe]
Generated description
Maria Sharpe was the wife of influential British statistician Karl Pearson and a supportive figure in his personal and professional life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maria Sharpe
Target entity description: Maria Sharpe was the wife of influential British statistician Karl Pearson and a supportive figure in his personal and professional life.
  • A. Sarah Cox
    Sarah Cox was the wife of Australian explorer, politician, and author William Charles Wentworth, connecting her to one of the most prominent colonial figures in early New South Wales history.
  • B. Kelly Lynch
    Kelly Lynch is an American actress known for her roles in films such as "Drugstore Cowboy," "Road House," and various television series.
  • C. Catherine McDougall
    Catherine McDougall is a person known primarily as the child of Alexander McDougall.
  • D. Rachel Ward
    Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
  • E. Elizabeth Wilson
    Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3addd648190b618bfbffe08db2c completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827bedc408190a9a77f293fb12762 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c8290c62d0819080a1e1820364da88 completed March 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69c82958eddc8190ad1697969241ec39 completed March 28, 2026, 7:17 p.m.
Created at: March 27, 2026, 3:14 p.m.