Triple

T2882460
Position Surface form Disambiguated ID Type / Status
Subject The Major and the Minor E59427 entity
Predicate character P662 FINISHED
Object Susan Applegate E426711 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: Susan Applegate | Statement: [The Major and the Minor, character, Susan Applegate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Applegate
Context triple: [The Major and the Minor, character, Susan Applegate]
  • A. Susan Applegate chosen
    Susan Applegate is the adult woman who disguises herself as a twelve-year-old girl to obtain a cheaper train fare in the classic 1942 Billy Wilder comedy film "The Major and the Minor."
  • B. Melissa Mathison
    Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
  • C. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • D. Susan Garrett
    Susan Garrett is known primarily as the wife of former U.S. Secretary of State and Treasury James A. Baker III.
  • E. Ann Donahue
    Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02aa5948190a2e0bd9168232bd5 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6d1e3b08190beff7f113dec8b1c completed March 14, 2026, 8:36 p.m.
Created at: March 6, 2026, 10:03 p.m.