Triple

T9995227
Position Surface form Disambiguated ID Type / Status
Subject Amanda Waller E197185 entity
Predicate portrayedBy P1507 FINISHED
Object Pam Grier E65189 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: Pam Grier | Statement: [Amanda Waller, portrayedBy, Pam Grier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Grier
Context triple: [Amanda Waller, portrayedBy, Pam Grier]
  • A. Pam Grier chosen
    Pam Grier is an iconic American actress best known for her groundbreaking roles in 1970s blaxploitation films such as "Coffy" and "Foxy Brown," which established her as a pioneering Black female action star.
  • B. Donna Peele
    Donna Peele is an American former model best known for her brief mid-1990s marriage to actor Charlie Sheen.
  • C. Queenie Shaw
    Queenie Shaw is a character in the Fast & Furious film franchise, known as the sharp-witted and formidable matriarch of the Shaw family.
  • D. Gia Carangi
    Gia Carangi was a pioneering American fashion model of the late 1970s and early 1980s, often regarded as one of the first supermodels and a tragic icon due to her early death from AIDS-related complications.
  • E. Madolyn Smith
    Madolyn Smith is an American actress best known for her film and television roles in the 1980s, including prominent performances in comedies and dramas.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.