Triple

T1404443
Position Surface form Disambiguated ID Type / Status
Subject Miss Representation E31657 entity
Predicate featuresInterviewWith P17405 FINISHED
Object Geena Davis E75895 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: Geena Davis | Statement: [Miss Representation, featuresInterviewWith, Geena Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geena Davis
Context triple: [Miss Representation, featuresInterviewWith, Geena Davis]
  • A. Geena Davis chosen
    Geena Davis is an American actress and producer known for her roles in films such as "Thelma & Louise," "A League of Their Own," and "The Fly," as well as for her advocacy for gender equality in media.
  • B. Daryl Hannah
    Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
  • C. Susan Sarandon
    Susan Sarandon is an acclaimed American actress known for her versatile performances in film and television, including her Academy Award–winning role in "Dead Man Walking."
  • D. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • E. Gina Gershon
    Gina Gershon is an American actress known for her versatile roles in film, television, and theater, including standout performances in movies like "Bound" and "Showgirls."
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c48ff58c8190aeaf09d3e7cad7c7 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad46878b3c8190ac46d5b9f0fd12e7 completed March 8, 2026, 9:51 a.m.
Created at: March 1, 2026, 7:59 p.m.