Triple

T597468
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Nickleby (2002 film) E11417 entity
Predicate starredActor P5563 FINISHED
Object Jamie Bell E64205 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: Jamie Bell | Statement: [Nicholas Nickleby (2002 film), starredActor, Jamie Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Bell
Context triple: [Nicholas Nickleby (2002 film), starredActor, Jamie Bell]
  • A. Jamie Bell chosen
    Jamie Bell is an English actor best known for his breakthrough role in the film "Billy Elliot" and subsequent work in movies such as "King Kong," "Snowpiercer," and "Rocketman."
  • B. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • C. Jane Wyman
    Jane Wyman was an American actress and Academy Award winner best known for her film and television work in the mid-20th century.
  • D. Grace Gummer
    Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
  • E. Rooney Mara
    Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566fce9808190931b7c88b5c5686f completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.