Triple

T817703
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Carter E17686 entity
Predicate familyName P18 FINISHED
Object Carter E93561 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: Carter | Statement: [Jimmy Carter, familyName, Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carter
Context triple: [Jimmy Carter, familyName, Carter]
  • A. Carter chosen
    Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
  • B. Joe Carter
    Joe Carter is a former Major League Baseball outfielder best known for his dramatic walk-off home run that clinched the 1993 World Series for the Toronto Blue Jays.
  • C. Cameron
    Cameron is a common Scottish surname that has been borne by numerous notable figures, including former UK Prime Minister David Cameron.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.