Triple

T4716443
Position Surface form Disambiguated ID Type / Status
Subject John Calvin Coolidge Jr. E104650 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Calvin Coolidge Jr., the 30th president of the United States known for his quiet demeanor and pro-business policies in the 1920s.
E104650 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: [John Calvin Coolidge Jr., givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Calvin Coolidge Jr., givenName, John]
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. John
    John is the husband of Martha Rainsborough.
  • C. John
    John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • D. John
    John is the given name of John F. Fitzgerald, an American politician who served as mayor of Boston and was the maternal grandfather of President John F. Kennedy.
  • E. John
    John Guillermin was a British film director and producer best known for directing large-scale adventure and disaster films such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • 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: [John Calvin Coolidge Jr., givenName, John]
Generated description
John is the given name of John Calvin Coolidge Jr., the 30th president of the United States known for his quiet demeanor and pro-business policies in the 1920s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Calvin Coolidge Jr., the 30th president of the United States known for his quiet demeanor and pro-business policies in the 1920s.
  • A. John chosen
    John is the first name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies in the 1920s.
  • B. John
    John is the given name of John Tyler, the 10th president of the United States who served from 1841 to 1845.
  • C. John
    John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
  • D. John
    John is the given name of John Foster Dulles, a prominent 20th-century American diplomat and U.S. Secretary of State during the Eisenhower administration.
  • E. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • F. None of above.

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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd640a32ec8190850146957885c3cf completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39e6428c81909be9bdb314993b1e completed March 21, 2026, 6:25 a.m.
NEDg Description generation batch_69be3c02014c81908a6f3ed676e5505c completed March 21, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69be3cd64d0c8190b007e9f027185225 completed March 21, 2026, 6:38 a.m.
Created at: March 20, 2026, 1:18 p.m.