Triple

T4330575
Position Surface form Disambiguated ID Type / Status
Subject The Matrix Reloaded E96737 entity
Predicate starring P1507 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: [The Matrix Reloaded, starring, Carrie-Anne Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie-Anne Moss
Context triple: [The Matrix Reloaded, starring, 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514c39748190900e13e70ed8848c completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09fad588190b488012b4fc6cb8c completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.