Triple

T6208347
Position Surface form Disambiguated ID Type / Status
Subject Alex Kingston E138803 entity
Predicate spouse P13 FINISHED
Object Jonathan Stamp
Jonathan Stamp is a British television producer and documentary filmmaker known for his work on historical and factual programming.
E575287 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: Jonathan Stamp | Statement: [Alex Kingston, spouse, Jonathan Stamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Stamp
Context triple: [Alex Kingston, spouse, Jonathan Stamp]
  • A. Chris Stamp
    Chris Stamp was a British music and film producer best known as the co-manager of The Who and co-founder of Track Records.
  • B. Richard Martin Lloyd Walters
    Richard Martin Lloyd Walters, better known as Slick Rick, is a pioneering British-American rapper famed for his storytelling style and influential role in the golden age of hip hop.
  • C. Stuart Sanger
    Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
  • D. David Stevenson
    David Stevenson was a Scottish lighthouse engineer and member of the famous Stevenson family of civil engineers.
  • E. Jon Shirley
    Jon Shirley is an American businessman and former Microsoft executive known for helping lead the company’s early growth and for his philanthropy in the arts and education.
  • 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: Jonathan Stamp
Triple: [Alex Kingston, spouse, Jonathan Stamp]
Generated description
Jonathan Stamp is a British television producer and documentary filmmaker known for his work on historical and factual programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan Stamp
Target entity description: Jonathan Stamp is a British television producer and documentary filmmaker known for his work on historical and factual programming.
  • A. Chris Stamp
    Chris Stamp was a British music and film producer best known as the co-manager of The Who and co-founder of Track Records.
  • B. Richard Martin Lloyd Walters
    Richard Martin Lloyd Walters, better known as Slick Rick, is a pioneering British-American rapper famed for his storytelling style and influential role in the golden age of hip hop.
  • C. Stuart Sanger
    Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
  • D. David Stevenson
    David Stevenson was a Scottish lighthouse engineer and member of the famous Stevenson family of civil engineers.
  • E. Jon Shirley
    Jon Shirley is an American businessman and former Microsoft executive known for helping lead the company’s early growth and for his philanthropy in the arts and education.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d2bc0c448190b1ae105212f5c933 completed March 23, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1d33e93e48190a0962f69e7601160 completed March 23, 2026, 11:56 p.m.
Created at: March 22, 2026, 4:21 p.m.