Triple

T20140245
Position Surface form Disambiguated ID Type / Status
Subject Mrs. America E491143 entity
Predicate stars P1956 FINISHED
Object Elizabeth Banks 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: Elizabeth Banks | Statement: [Mrs. America, stars, Elizabeth Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Banks
Context triple: [Mrs. America, stars, Elizabeth Banks]
  • A. Elizabeth Banks chosen
    Elizabeth Banks is an American actress, director, and producer known for her roles in films such as "The Hunger Games" series, "Pitch Perfect," and numerous comedic and dramatic projects in film and television.
  • B. Anna Faris
    Anna Faris is an American actress and comedian best known for her lead role in the Scary Movie film series and her work in both film and television comedy.
  • C. June Tripp
    June Tripp was a British actress best known for her leading role in Alfred Hitchcock’s silent thriller "The Lodger: A Story of the London Fog."
  • D. Anne Banks
    Anne Banks was the wife of 17th-century English poet and politician Edmund Waller, known primarily through her marriage into this prominent literary and political family.
  • E. Natasha Lyonne
    Natasha Lyonne is an American actress, writer, and director known for her distinctive raspy voice and roles in projects like Russian Doll, the American Pie films, and various acclaimed independent movies.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.