Triple

T9034741
Position Surface form Disambiguated ID Type / Status
Subject Star Wars: The Acolyte E216462 entity
Predicate castMember P1668 FINISHED
Object Carrie-Anne Moss E195727 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: Carrie-Anne Moss | Statement: [Star Wars: The Acolyte, castMember, Carrie-Anne Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie-Anne Moss
Context triple: [Star Wars: The Acolyte, castMember, Carrie-Anne Moss]
  • A. Carrie-Anne Moss chosen
    Carrie-Anne Moss is a Canadian actress best known for her iconic role as Trinity in the science fiction film franchise "The Matrix."
  • B. Nikki Reed
    Nikki Reed is an American actress and screenwriter best known for her role as Rosalie Hale in the Twilight film series.
  • C. Sean Young
    Sean Young is an American actress best known for her roles in 1980s films such as "Blade Runner," "Dune," and "No Way Out."
  • D. Sigourney Weaver
    Sigourney Weaver is an acclaimed American actress best known for her iconic role as Ellen Ripley in the "Alien" film series and her influential work in science fiction and genre cinema.
  • E. Evangeline Lilly
    Evangeline Lilly is a Canadian actress best known for her roles in the television series "Lost" and as Hope van Dyne/The Wasp in the Marvel Cinematic Universe.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6abf4af481908d21245332329d99 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbce352c8190b5862d0cc103bfdb completed April 3, 2026, 3:25 p.m.
Created at: March 30, 2026, 7:08 p.m.