Triple

T5185169
Position Surface form Disambiguated ID Type / Status
Subject Marie Antoinette (2006 film) E117012 entity
Predicate basedOnAuthor P2806 FINISHED
Object Antonia Fraser E294638 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: Antonia Fraser | Statement: [Marie Antoinette (2006 film), basedOnAuthor, Antonia Fraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonia Fraser
Context triple: [Marie Antoinette (2006 film), basedOnAuthor, Antonia Fraser]
  • A. Antonia Fraser chosen
    Antonia Fraser is a British historian and biographer renowned for her popular works on European royalty and major figures of British history.
  • B. Claire Tomalin
    Claire Tomalin is a British literary journalist and acclaimed biographer known for her works on figures such as Charles Dickens, Samuel Pepys, and Jane Austen.
  • C. Susan Abigail Tomalin
    Susan Abigail Tomalin, better known as Susan Sarandon, is an Academy Award–winning American actress and activist renowned for her roles in films such as "Thelma & Louise" and "Dead Man Walking."
  • D. Elizabeth Jane Howard
    Elizabeth Jane Howard was an English novelist best known for her critically acclaimed family saga, the Cazalet Chronicles.
  • E. Sonia Todd
    Sonia Todd is an individual associated with the work "Shine," likely recognized for a notable role or contribution connected to that title.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee085177c8190afce36104b3e3809 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.