Triple

T11956778
Position Surface form Disambiguated ID Type / Status
Subject Younger E284572 entity
Predicate character P662 FINISHED
Object Diana Trout E956128 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: Diana Trout | Statement: [Younger, character, Diana Trout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Trout
Context triple: [Younger, character, Diana Trout]
  • A. Diana Trout chosen
    Diana Trout is a formidable and often antagonistic publishing executive in the TV series "Younger," known for her sharp wit, ambition, and complex relationship with the show's protagonist.
  • B. Diana Graves
    Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
  • C. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • D. Diana Rathbun
    Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
  • E. Birdee Pruitt
    Birdee Pruitt is the small-town Texas woman, played by Sandra Bullock in the film "Hope Floats," who must rebuild her life and self-worth after a humiliating, nationally televised divorce.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.