Triple

T2517355
Position Surface form Disambiguated ID Type / Status
Subject Kristin Harmon E55442 entity
Predicate child P120 FINISHED
Object Tracy Nelson E11627 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: Tracy Nelson | Statement: [Kristin Harmon, child, Tracy Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Nelson
Context triple: [Kristin Harmon, child, Tracy Nelson]
  • A. Tracy Nelson chosen
    Tracy Nelson is an American actress and author best known for her roles in the television series "Square Pegs" and "Father Dowling Mysteries."
  • B. Jeannie Seely
    Jeannie Seely is an American country music singer and Grand Ole Opry member known for her 1966 hit "Don't Touch Me" and her long, influential career in Nashville.
  • C. Dody Dorn
    Dody Dorn is an American film editor known for her work on movies such as "Memento" and collaborations with directors like Christopher Nolan and David Ayer.
  • D. Anna O'Donnell
    Anna O'Donnell is a young Irish girl in Emma Donoghue's novel "The Wonder," famed for apparently surviving without food and becoming the focus of religious fervor and medical scrutiny.
  • E. Barbaree Earl Nielsen
    Barbaree Earl Nielsen is an American actress best known as the longtime wife and widow of comic actor Leslie Nielsen.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2111d28819099884a2bec5e0366 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b9ef8048190bafff3f1853321cb completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.