Triple

T1078479
Position Surface form Disambiguated ID Type / Status
Subject Daniel Defoe E23892 entity
Predicate birthName P65 FINISHED
Object Daniel Foe
Daniel Foe, better known as Daniel Defoe, was an English writer and journalist famed for authoring the novel "Robinson Crusoe."
E124828 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 Foe | Statement: [Daniel Defoe, birthName, Daniel Foe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Foe
Context triple: [Daniel Defoe, birthName, Daniel Foe]
  • A. Luke Foxe
    Luke Foxe was a 17th-century English explorer and navigator known for his Arctic voyages in search of the Northwest Passage.
  • B. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • C. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • D. Happy Felsch
    Happy Felsch was an American Major League Baseball outfielder best known as one of the Chicago White Sox players banned for his role in the 1919 Black Sox Scandal.
  • E. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • 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 Foe
Triple: [Daniel Defoe, birthName, Daniel Foe]
Generated description
Daniel Foe, better known as Daniel Defoe, was an English writer and journalist famed for authoring the novel "Robinson Crusoe."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Foe
Target entity description: Daniel Foe, better known as Daniel Defoe, was an English writer and journalist famed for authoring the novel "Robinson Crusoe."
  • A. Luke Foxe
    Luke Foxe was a 17th-century English explorer and navigator known for his Arctic voyages in search of the Northwest Passage.
  • B. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • C. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • D. Happy Felsch
    Happy Felsch was an American Major League Baseball outfielder best known as one of the Chicago White Sox players banned for his role in the 1919 Black Sox Scandal.
  • E. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b943b41481909b24050ca7e78971 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42addb188190a26dd3071abf64d6 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac432a8a9881908c1199f7974e1491 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.