Triple

T4698382
Position Surface form Disambiguated ID Type / Status
Subject Rey E104205 entity
Predicate portrayedBy P1507 FINISHED
Object Daisy Ridley E259351 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: Daisy Ridley | Statement: [Rey, portrayedBy, Daisy Ridley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy Ridley
Context triple: [Rey, portrayedBy, Daisy Ridley]
  • A. Daisy Ridley chosen
    Daisy Ridley is an English actress best known for portraying Rey in the Star Wars sequel trilogy and for roles in films such as Murder on the Orient Express (2017).
  • B. Naomi Scott
    Naomi Scott is a British actress and singer best known for playing Princess Jasmine in Disney’s live-action Aladdin and performing its signature song “A Whole New World.”
  • C. Kelly Marie Tran
    Kelly Marie Tran is an American actress best known for playing Rose Tico in the Star Wars sequel trilogy and voicing the title character in Disney’s animated film Raya and the Last Dragon.
  • D. John Boyega
    John Boyega is a British actor and producer best known for his role as Finn in the Star Wars sequel trilogy.
  • E. Felicity Jones
    Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63b57e1c8190962d97e4805974ed completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c7469081908cf587b2356a4320 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.