Triple

T12668489
Position Surface form Disambiguated ID Type / Status
Subject Meghan McCain E302617 entity
Predicate familyName P18 FINISHED
Object McCain E980772 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: McCain | Statement: [Meghan McCain, familyName, McCain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCain
Context triple: [Meghan McCain, familyName, McCain]
  • A. McCain chosen
    McCain is a prominent American surname most widely associated with the political family of the late Senator John McCain and his wife Cindy McCain.
  • B. John McCain
    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.
  • C. James McCain
    James McCain is one of the children of the late U.S. Senator and 2008 Republican presidential nominee John McCain.
  • D. Romney
    Romney is a prominent American surname most widely associated with politician Mitt Romney and his influential political family.
  • E. 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.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716b3d28881908053df1928b18264 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 5:20 p.m.