Triple

T2676522
Position Surface form Disambiguated ID Type / Status
Subject Lady Sarah Chatto E56473 entity
Predicate spouse P13 FINISHED
Object Daniel Chatto
Daniel Chatto is a British former actor and artist best known as the husband of Lady Sarah Chatto, niece of King Charles III.
 E287154 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: Daniel Chatto | Statement: [Lady Sarah Chatto, spouse, Daniel Chatto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Chatto
Context triple: [Lady Sarah Chatto, spouse, Daniel Chatto]
  • A. Andrew Chatto
    Andrew Chatto was a 19th-century British publisher best known as the co-founder of the influential London publishing house Chatto & Windus.
  • B. David Blunt
    David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
  • C. John Cheshire
    John Cheshire is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of RAF Fighter Command.
  • D. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • E. Roy Chadwick
    Roy Chadwick was a British aircraft designer best known for creating several iconic World War II bombers, including the Avro Lancaster.
  • 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: Daniel Chatto
Triple: [Lady Sarah Chatto, spouse, Daniel Chatto]
Generated description
Daniel Chatto is a British former actor and artist best known as the husband of Lady Sarah Chatto, niece of King Charles III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Chatto
Target entity description: Daniel Chatto is a British former actor and artist best known as the husband of Lady Sarah Chatto, niece of King Charles III.
  • A. Andrew Chatto
    Andrew Chatto was a 19th-century British publisher best known as the co-founder of the influential London publishing house Chatto & Windus.
  • B. David Blunt
    David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
  • C. John Cheshire
    John Cheshire is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of RAF Fighter Command.
  • D. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • E. Roy Chadwick
    Roy Chadwick was a British aircraft designer best known for creating several iconic World War II bombers, including the Avro Lancaster.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e714e08190aa873b8501c89479 completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa18335548190b186323227d55e63 completed March 10, 2026, 4:43 a.m.
Created at: March 6, 2026, 9:54 p.m.