Triple

T20881925
Position Surface form Disambiguated ID Type / Status
Subject The Beguiled E514172 entity
Predicate character P662 FINISHED
Object Martha Farnsworth 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: Martha Farnsworth | Statement: [The Beguiled, character, Martha Farnsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Farnsworth
Context triple: [The Beguiled, character, Martha Farnsworth]
  • A. Martha Farnsworth chosen
    Martha Farnsworth is the strict yet protective headmistress of a Southern girls’ school in the American Civil War–era drama film "The Beguiled" (2017).
  • B. Martha Hudson
    Martha Hudson is an American sprinter who was one of the top female track athletes of her era, notably competing internationally under coach Ed Temple at Tennessee State University.
  • C. Martha Vickers
    Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
  • D. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • E. Martha Pattridge
    Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.