Triple

T18738147
Position Surface form Disambiguated ID Type / Status
Subject Aaron Sorkin E458218 entity
Predicate spouse P13 FINISHED
Object Julia Bingham 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: Julia Bingham | Statement: [Aaron Sorkin, spouse, Julia Bingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Bingham
Context triple: [Aaron Sorkin, spouse, Julia Bingham]
  • A. Julia Bingham chosen
    Julia Bingham is an attorney known for her work in civil rights and as the wife of screenwriter and director Aaron Sorkin.
  • B. Julia Hoyt
    Julia Hoyt was an American stage and silent film actress and socialite active in the early 20th century.
  • C. Julia Ogden
    Julia Ogden is a central character in the Canadian television series "Murdoch Mysteries," known as a progressive and skilled coroner who works closely with Detective William Murdoch in early 20th-century Toronto.
  • D. Julia Meade-Hunt
    Julia Meade-Hunt is a character in the Mission: Impossible film series, known as Ethan Hunt’s wife whose relationship with him is deeply affected by his dangerous life as an IMF agent.
  • E. Julia Biggs
    Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.