Triple

T7442689
Position Surface form Disambiguated ID Type / Status
Subject Steel (1997 film) E171792 entity
Predicate castMember P1668 FINISHED
Object Irma P. Hall E654984 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: Irma P. Hall | Statement: [Steel (1997 film), castMember, Irma P. Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irma P. Hall
Context triple: [Steel (1997 film), castMember, Irma P. Hall]
  • A. Irma P. Hall chosen
    Irma P. Hall is an American actress best known for her warm, commanding portrayals of matriarchal figures in films such as "Soul Food" and "The Ladykillers."
  • B. Nellie W. Carter
    Nellie W. Carter was the mother of American actor and entertainer Mickey Rooney.
  • C. Faye B. Harwell
    Faye B. Harwell is an American landscape architect known for her work on prominent public memorials and historic landscapes in Washington, D.C.
  • D. Juanita Hall
    Juanita Hall was an American actress and singer best known for originating the role of Bloody Mary in the Broadway and film versions of the musical "South Pacific."
  • E. Hazel B. Briggs
    Hazel B. Briggs was a film technology developer known for her role in creating the innovative widescreen Cinerama process.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344d4c408190a72f8f7718957f21 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.