Triple

T5692730
Position Surface form Disambiguated ID Type / Status
Subject The L Word E125463 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: [The L Word, portrayedBy, Pam Grier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam Grier
Context triple: [The L Word, 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. 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.
  • C. Madolyn Madden
    Madolyn Madden is a central character in the crime thriller film "The Departed," serving as a psychiatrist entangled in the lives of both a mole in the police and an undercover cop.
  • D. Patty Fenn
    Patty Fenn is a television producer and key character in the film "Money Monster," where she manages the chaotic live broadcast at the center of the story.
  • E. Linda Fiorentino
    Linda Fiorentino is an American actress known for her sharp, sultry screen presence in films such as "The Last Seduction" and "Men in Black."
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.