Triple

T17924452
Position Surface form Disambiguated ID Type / Status
Subject Sir John Craig Eaton E448155 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Craig Eaton, a prominent Canadian businessman and heir to the Eaton's department store fortune.
E1298877 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: John | Statement: [Sir John Craig Eaton, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Craig Eaton, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • C. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • D. John
    John is the first name of Jack Graney, a Canadian Major League Baseball player and later a pioneering baseball broadcaster.
  • E. John
    John is the given first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • 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: John
Triple: [Sir John Craig Eaton, givenName, John]
Generated description
John is the given name of Sir John Craig Eaton, a prominent Canadian businessman and heir to the Eaton's department store fortune.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Craig Eaton, a prominent Canadian businessman and heir to the Eaton's department store fortune.
  • A. John
    John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
  • B. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • C. John
    John is the given name of John J. Raskob, the American businessman and financier known for his role in the development of the Empire State Building and his leadership at General Motors and DuPont.
  • D. John
    John is the given name of John Jacob Astor VI, a member of the prominent American Astor family known for their wealth and influence.
  • E. John
    John is the given name of John D. Rockefeller, the American industrialist and philanthropist who founded Standard Oil and became one of the wealthiest individuals in history.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033000790c8190b65c0f888bdd9482 completed May 12, 2026, 1:49 p.m.
NEDg Description generation batch_6a0331bd44f08190b564dae3fee6dcbd completed May 12, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a03342d68e08190901e2fcb33627714 completed May 12, 2026, 2:07 p.m.
Created at: April 10, 2026, 10:20 a.m.