Triple

T19547189
Position Surface form Disambiguated ID Type / Status
Subject So Big (1953 film) E489103 entity
Predicate starring P1507 FINISHED
Object Martha Hyer 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: Martha Hyer | Statement: [So Big (1953 film), starring, Martha Hyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Hyer
Context triple: [So Big (1953 film), starring, Martha Hyer]
  • A. Martha Hyer chosen
    Martha Hyer was an American film actress best known for her roles in 1950s and 1960s Hollywood movies, including her Oscar-nominated performance in "Some Came Running."
  • B. Caroline Oates
    Caroline Oates is best known as the wife of American character actor Warren Oates, noted for his roles in numerous 1960s and 1970s films and television series.
  • C. Gwen Taylor
    Gwen Taylor is an English actress known for her extensive work in television, film, and theatre, including prominent roles in British sitcoms and dramas.
  • D. Beth Heiden
    Beth Heiden is an American former speed skater and cyclist who won multiple world titles and an Olympic bronze medal in speed skating before later excelling in competitive cycling.
  • E. Molly Davidson
    Molly Davidson is an overachieving, socially awkward high school senior who learns to balance academic ambition with personal growth and fun in the coming-of-age comedy film "Booksmart."
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2d8a6081908e9bb3a6f5d85896 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.