Triple

T1212665
Position Surface form Disambiguated ID Type / Status
Subject Roger Fry E26035 entity
Predicate child P120 FINISHED
Object Julian Fry
Julian Fry was the son of influential British art critic and painter Roger Fry, associated with the Bloomsbury Group.
 E214402 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: Julian Fry | Statement: [Roger Fry, child, Julian Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Julian Fry
Context triple: [Roger Fry, child, Julian Fry]
  • A. Ian Black
    Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
  • B. Hugh Frayne
    Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
  • C. Julian Clary
    Julian Clary is an English comedian, actor, novelist, and television personality known for his camp style and innuendo-laden humor.
  • D. Julian Wadham
    Julian Wadham is a British actor known for his work in film, television, and theatre, including roles in acclaimed period dramas and historical productions.
  • 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: Julian Fry
Triple: [Roger Fry, child, Julian Fry]
Generated description
Julian Fry was the son of influential British art critic and painter Roger Fry, associated with the Bloomsbury Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Julian Fry
Target entity description: Julian Fry was the son of influential British art critic and painter Roger Fry, associated with the Bloomsbury Group.
  • A. Ian Black
    Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
  • B. Hugh Frayne
    Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
  • C. Julian Clary
    Julian Clary is an English comedian, actor, novelist, and television personality known for his camp style and innuendo-laden humor.
  • D. Julian Wadham
    Julian Wadham is a British actor known for his work in film, television, and theatre, including roles in acclaimed period dramas and historical productions.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bde6cb608190b77fc5c47083e4b7 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3a85f8481908d93f60b0ae82901 completed March 8, 2026, 10:09 p.m.
NEDg Description generation batch_69adf431c3a88190971f61d53c2bad2e completed March 8, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69adf4bdb6dc8190964e5e78abfb8e40 completed March 8, 2026, 10:14 p.m.
Created at: March 1, 2026, 7:46 p.m.