Triple

T2106384
Position Surface form Disambiguated ID Type / Status
Subject The Oprah Winfrey Show E42403 entity
Predicate spinOffHelpedLaunch P22753 FINISHED
Object Rachael Ray E98694 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: Rachael Ray | Statement: [The Oprah Winfrey Show, spinOffHelpedLaunch, Rachael Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Ray
Context triple: [The Oprah Winfrey Show, spinOffHelpedLaunch, Rachael Ray]
  • A. Rachel Ray
    "Rachel Ray" is a 19th-century novel by Anthony Trollope that explores themes of love, religious influence, and social pressure in a small English town.
  • B. Rachel Ray chosen
    Rachael Ray is an American television personality, celebrity chef, and author best known for her quick and easy cooking style and shows like "30 Minute Meals."
  • C. Sandra Lee
    Sandra Lee is an American television chef and author known for her "Semi-Homemade" cooking concept and numerous Food Network shows.
  • D. Janet Langhart
    Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
  • E. Ashley Curry
    Ashley Curry is an American local government official serving as the mayor of Vestavia Hills, Alabama.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdc11a048190ba3bbc60f90f34e1 completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51926e4481909dd148b5cab3b6ec completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.