Triple

T9715519
Position Surface form Disambiguated ID Type / Status
Subject Sarah Hughes E235132 entity
Predicate hasMother P1909 FINISHED
Object Amy Pastarnack Hughes E235132 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: Amy Pastarnack Hughes | Statement: [Sarah Hughes, hasMother, Amy Pastarnack Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Pastarnack Hughes
Context triple: [Sarah Hughes, hasMother, Amy Pastarnack Hughes]
  • A. Amy Pastarnack Hughes chosen
    Amy Pastarnack Hughes is best known as the mother of American Olympic figure skating champion Sarah Hughes.
  • B. Lisa Miller Hughes
    Lisa Miller Hughes is a long-running, central character on the American soap opera "As the World Turns," known for her dramatic relationships and evolving role over decades on the show.
  • C. Mary Beth Hughes
    Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
  • D. Amy Eshleman
    Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
  • E. Elizabeth Paepcke
    Elizabeth Paepcke was an American philanthropist and cultural visionary who, with her husband Walter, played a central role in transforming Aspen, Colorado into an international center for arts, ideas, and intellectual dialogue.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0bb82081908e21a646f4de1a61 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f941b908190a3e27f4b6c1b3535 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:20 p.m.