Triple

T3168836
Position Surface form Disambiguated ID Type / Status
Subject Anna and the King of Siam E66277 entity
Predicate screenwriter P2831 FINISHED
Object Sally Benson E267156 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: Sally Benson | Statement: [Anna and the King of Siam, screenwriter, Sally Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Benson
Context triple: [Anna and the King of Siam, screenwriter, Sally Benson]
  • A. Sally Benson chosen
    Sally Benson was an American author and screenwriter best known for her semi-autobiographical stories that inspired the classic film "Meet Me in St. Louis."
  • B. Sally Cobb
    Sally Cobb was the wife of American Founding Father and Declaration of Independence signer Robert Treat Paine.
  • C. Sally Peterson
    Sally Peterson is known as the spouse of American investment banker and former U.S. Secretary of Commerce Peter G. Peterson.
  • D. Elaine Benson
    Elaine Benson was an American art dealer and gallery owner known for her influential role in the Hamptons art scene.
  • E. Sally Smith
    Sally Smith is the marital partner of Charles Adams, known primarily in relation to him.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64726048190933dbdc44258703e completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3601894819082568a7ee8d6aabc completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:06 p.m.