Triple

T12326947
Position Surface form Disambiguated ID Type / Status
Subject John McCain E293854 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John McCain, the American politician and longtime U.S. senator from Arizona who was the Republican nominee for president in 2008.
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 the nickname of John Riggins, a former American football running back best known for his Hall of Fame career with the Washington Redskins in the NFL.
  • B. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • C. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • D. John
    John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
  • E. John
    John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
  • 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 John McCain, the American politician and longtime U.S. senator from Arizona who was the Republican nominee for president in 2008.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John McCain, the American politician and longtime U.S. senator from Arizona who was the Republican nominee for president in 2008.
  • 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 S. McCain Sr., a prominent U.S. Navy admiral and patriarch of the McCain military and political family.
  • D. John
    John is the given name of John Boehner, the American politician who served as the 53rd Speaker of the United States House of Representatives.
  • E. John
    John is the given name of John C. Frémont, a 19th-century American explorer, military officer, and politician who was the first Republican nominee for U.S. president.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63461cacc81909958fbd745e5d065 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356b545c819089a5f5b901afc5f2 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f636382ffc8190becfae41757a45d8 completed May 2, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:53 p.m.