Triple

T3538328
Position Surface form Disambiguated ID Type / Status
Subject They Cloned Tyrone E74819 entity
Predicate castMember P1668 FINISHED
Object John Boyega E11429 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: John Boyega | Statement: [They Cloned Tyrone, castMember, John Boyega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Boyega
Context triple: [They Cloned Tyrone, castMember, John Boyega]
  • A. John Boyega chosen
    John Boyega is a British actor and producer best known for his role as Finn in the Star Wars sequel trilogy.
  • B. Daisy Ridley
    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).
  • C. 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.”
  • D. Tye Sheridan
    Tye Sheridan is an American actor known for roles in films such as Mud, Ready Player One, and the X-Men series, where he portrays the young Cyclops.
  • E. Alan Tudyk
    Alan Tudyk is an American actor and voice actor known for his versatile character roles in films, television, and animation, including work with Disney and on series like "Firefly."
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdd2715c81908250bb2925de8e1f completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:20 p.m.