Triple

T12797077
Position Surface form Disambiguated ID Type / Status
Subject Ellis Island Medal of Honor E305916 entity
Predicate hasRecipient P108 FINISHED
Object John McCain E99734 NE FINISHED

How this triple was built (2 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 McCain | Statement: [Ellis Island Medal of Honor, hasRecipient, John McCain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McCain
Context triple: [Ellis Island Medal of Honor, hasRecipient, John McCain]
  • A. John McCain chosen
    John McCain was a long-serving Republican U.S. senator from Arizona and Vietnam War veteran who became his party’s nominee for president in 2008.
  • B. John Sidney McCain IV
    John Sidney McCain IV is the son of the late U.S. Senator and 2008 Republican presidential nominee John McCain, known primarily as a member of the prominent McCain political family.
  • C. James McCain
    James McCain is one of the children of the late U.S. Senator and 2008 Republican presidential nominee John McCain.
  • D. McCain
    McCain is a prominent American surname most widely associated with the political family of the late Senator John McCain and his wife Cindy McCain.
  • E. Fred Dalton Thompson
    Fred Dalton Thompson was an American lawyer, Republican politician, and character actor known for roles in films like "The Hunt for Red October" and the TV series "Law & Order."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739688734819092b14bd3edacd4ef completed May 3, 2026, 12:02 p.m.
Created at: April 9, 2026, 5:30 p.m.