Triple

T11050927
Position Surface form Disambiguated ID Type / Status
Subject Cate Edwards E261245 entity
Predicate name P16 FINISHED
Object Cate Edwards E261245 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: Cate Edwards | Statement: [Cate Edwards, name, Cate Edwards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate Edwards
Context triple: [Cate Edwards, name, Cate Edwards]
  • A. Cate Edwards chosen
    Cate Edwards is an American attorney and the daughter of former U.S. Senator and vice-presidential nominee John Edwards.
  • B. Caitlin Lowe
    Caitlin Lowe is a former All-American outfielder and Olympic medalist who became the head coach of the University of Arizona Wildcats softball program.
  • C. Caitlin Carney
    Caitlin Carney is a central character in Jez Butterworth’s play "The Ferryman," around whom much of the family drama and political tension in 1980s rural Northern Ireland revolves.
  • D. Caitlin Carver
    Caitlin Carver is an American actress and dancer known for her supporting roles in film and television, including the biographical dark comedy "I, Tonya."
  • E. Cate Connor
    Cate Connor is a central figure in "The Darkest Minds," known for her pivotal role in guiding and influencing the story’s young protagonists within its dystopian world.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86052148190adfc250c3dd27094 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.