Triple

T20215796
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Brasfield Carter E493619 entity
Predicate relativeByMarriage P7844 FINISHED
Object Amy Carter NE NERFINISHED

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: Amy Carter | Statement: [Elizabeth Brasfield Carter, relativeByMarriage, Amy Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Carter
Context triple: [Elizabeth Brasfield Carter, relativeByMarriage, Amy Carter]
  • A. Amy Carter chosen
    Amy Carter is the daughter of former U.S. President Jimmy Carter, known for growing up in the White House and later engaging in political activism and illustration.
  • B. Jana Carter
    Jana Carter is an American lawyer, producer, and activist best known for her work in social justice and media and for her former marriage to political commentator Van Jones.
  • C. Pauline Carter
    Pauline Carter is best known as the wife of British film director Ken Annakin.
  • D. Barbara Bush
    Barbara Bush was the former First Lady of the United States and a prominent advocate for family literacy, known for her down-to-earth style and public service.
  • E. Carol Cleveland
    Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.