Triple

T4346214
Position Surface form Disambiguated ID Type / Status
Subject Betfred E97908 entity
Predicate foundedBy P104 FINISHED
Object Peter Done
Peter Done is a British businessman best known as the co-founder of the major UK bookmaker Betfred.
 E432427 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: Peter Done | Statement: [Betfred, foundedBy, Peter Done]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Done
Context triple: [Betfred, foundedBy, Peter Done]
  • A. Peter Braun
    Peter Braun is a relatively obscure individual whose primary public association is sharing the surname Braun, with no widely recognized distinguishing achievements or roles.
  • B. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • C. Barry Warsaw
    Barry Warsaw is a prominent Python developer and core contributor known for his significant role in the evolution of the Python language and its community.
  • D. Peter Tolan
    Peter Tolan is an American television producer, writer, and director best known for co-creating the series "Rescue Me" and his extensive work on comedy and drama shows.
  • E. Frederick Peters
    Frederick Peters was the brother of classic Hollywood actress Carole Lombard, connected to her family life outside her film career.
  • 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: Peter Done
Triple: [Betfred, foundedBy, Peter Done]
Generated description
Peter Done is a British businessman best known as the co-founder of the major UK bookmaker Betfred.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Done
Target entity description: Peter Done is a British businessman best known as the co-founder of the major UK bookmaker Betfred.
  • A. Peter Braun
    Peter Braun is a relatively obscure individual whose primary public association is sharing the surname Braun, with no widely recognized distinguishing achievements or roles.
  • B. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • C. Barry Warsaw
    Barry Warsaw is a prominent Python developer and core contributor known for his significant role in the evolution of the Python language and its community.
  • D. Peter Tolan
    Peter Tolan is an American television producer, writer, and director best known for co-creating the series "Rescue Me" and his extensive work on comedy and drama shows.
  • E. Frederick Peters
    Frederick Peters was the brother of classic Hollywood actress Carole Lombard, connected to her family life outside her film career.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518d6728819084a2f40ae0bd3ac8 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba958b88190b1b4efe4274cd060 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc1eedc08190b50b72b59cf1dcf0 completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5dcbf4d5081908d24bce8e2769124 completed March 14, 2026, 10:10 p.m.
Created at: March 12, 2026, 11:15 p.m.