Triple

T4296851
Position Surface form Disambiguated ID Type / Status
Subject John McCain E99734 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the late American politician and longtime U.S. Senator John McCain, who was also the 2008 Republican presidential nominee.
E293854 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 McCain, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John McCain, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • C. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • D. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • E. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • 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 McCain, givenName, John]
Generated description
John is the given name of the late American politician and longtime U.S. Senator John McCain, who was also the 2008 Republican presidential nominee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the late American politician and longtime U.S. Senator John McCain, who was also the 2008 Republican presidential nominee.
  • A. John chosen
    John is the given name of John McCain III, the American politician and longtime U.S. senator from Arizona who was the 2008 Republican presidential nominee.
  • B. John
    John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
  • C. John
    John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi known for his influence on defense policy.
  • D. John
    John is the given name of John F. Kennedy Jr., the American lawyer, journalist, and son of President John F. Kennedy.
  • E. John
    John is the given name of John F. Lehman, a former U.S. Secretary of the Navy and influential defense policy figure.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7151108819082b2f37945d6139e completed March 14, 2026, 8:37 p.m.
NEDg Description generation batch_69b5c79491a48190865aaa674baebd9b completed March 14, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69b5c80ecc7481908deb061969a82c59 completed March 14, 2026, 8:41 p.m.
Created at: March 12, 2026, 11:08 p.m.