Triple

T179854
Position Surface form Disambiguated ID Type / Status
Subject A Beautiful Mind (2001 film) E3659 entity
Predicate character P662 FINISHED
Object Alicia Nash E24144 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: Alicia Nash | Statement: [A Beautiful Mind (2001 film), character, Alicia Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia Nash
Context triple: [A Beautiful Mind (2001 film), character, Alicia Nash]
  • A. Alicia Nash chosen
    Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
  • B. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • C. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • D. Jocelyn Howard
    Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
  • E. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6a44a081908b412cd0f889b5e9 completed March 2, 2026, 1:02 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.