Triple

T20127931
Position Surface form Disambiguated ID Type / Status
Subject The Circle E490805 entity
Predicate filmAdaptationStar P795 FINISHED
Object John Boyega NE NERFINISHED

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: [The Circle, filmAdaptationStar, John Boyega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Boyega
Context triple: [The Circle, filmAdaptationStar, 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. Lucas Till
    Lucas Till is an American actor best known for roles in projects like the X-Men film series and the TV reboot of MacGyver.
  • C. Colin O'Donoghue
    Colin O'Donoghue is an Irish actor best known for playing Captain Hook/Killian Jones on the television series "Once Upon a Time" and for his work in film and voice acting.
  • D. Levi Miller
    Levi Miller is an Australian actor best known for playing the young Peter Pan in the fantasy adventure film "Pan" (2015).
  • E. Antony Starr
    Antony Starr is a New Zealand actor best known for his intense television roles, particularly as the sociopathic superhero Homelander in the series "The Boys."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6675fe3d48190b0c20b483a951e68 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.