Triple

T20816864
Position Surface form Disambiguated ID Type / Status
Subject Hope Floats E512462 entity
Predicate mainCharacter P1183 FINISHED
Object Birdee Pruitt 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: Birdee Pruitt | Statement: [Hope Floats, mainCharacter, Birdee Pruitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birdee Pruitt
Context triple: [Hope Floats, mainCharacter, Birdee Pruitt]
  • A. Birdee Pruitt chosen
    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.
  • B. Taffy Bowen
    Taffy Bowen was a Welsh physicist and radar pioneer whose work on airborne radar during World War II was crucial to the development of modern radar technology.
  • C. Teela Brown
    Teela Brown is a genetically lucky human from Larry Niven’s *Ringworld* series, whose engineered good fortune profoundly shapes the events of the story.
  • D. Betsy Brantley
    Betsy Brantley is an American actress known for her work in film, television, and theater, including roles in productions such as "The Princess Bride" and "Deep Impact."
  • E. Tempe Pigott
    Tempe Pigott was an English character actress known for her supporting roles in early 20th-century stage and film productions, including numerous Hollywood films of the 1930s and 1940s.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f3473c81908c43a2ec242b1acd completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.