Triple

T9790272
Position Surface form Disambiguated ID Type / Status
Subject Lockout E237587 entity
Predicate characterRole P268 FINISHED
Object Maggie Grace as Emilie Warnock E673172 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: Maggie Grace as Emilie Warnock | Statement: [Lockout, characterRole, Maggie Grace as Emilie Warnock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie Grace as Emilie Warnock
Context triple: [Lockout, characterRole, Maggie Grace as Emilie Warnock]
  • A. Maggie Grace chosen
    Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
  • B. Ellie Wood
    Ellie Wood is a film producer best known for her work on the British historical drama "The Dig."
  • C. Emily Osment
    Emily Osment is an American actress and singer best known for her role as Lilly Truscott on Disney Channel’s "Hannah Montana" and for her work in various film and television comedies and dramas.
  • D. Mckenna Grace
    Mckenna Grace is an American actress known for her roles in films and television series such as "Gifted," "The Haunting of Hill House," and "Ghostbusters: Afterlife."
  • E. Chloë Grace Moretz
    Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.