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.