Triple

T2651541
Position Surface form Disambiguated ID Type / Status
Subject Layer Cake E53909 entity
Predicate starring P1507 FINISHED
Object Sienna Miller E69700 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: Sienna Miller | Statement: [Layer Cake, starring, Sienna Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sienna Miller
Context triple: [Layer Cake, starring, Sienna Miller]
  • A. Sienna Miller chosen
    Sienna Miller is a British-American actress and model known for her roles in films such as "Layer Cake," "Factory Girl," and "American Sniper," as well as for her prominent presence in 2000s popular culture and fashion.
  • B. Emily Watson
    Emily Watson is an acclaimed English actress known for her powerful performances in films such as "Breaking the Waves," "Hilary and Jackie," and "Punch-Drunk Love."
  • C. Emily Mortimer
    Emily Mortimer is a British actress known for her versatile film and television roles, including performances in projects like "Mary Poppins Returns," "Match Point," and "The Newsroom."
  • D. Kristin Scott Thomas
    Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
  • E. Sophie Fiennes
    Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf4d70388190b6f0e683c77bc262 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.