Triple

T19453208
Position Surface form Disambiguated ID Type / Status
Subject Mercy (2009 film) E486667 entity
Predicate starring P1507 FINISHED
Object Wendy Glenn 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: Wendy Glenn | Statement: [Mercy (2009 film), starring, Wendy Glenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Glenn
Context triple: [Mercy (2009 film), starring, Wendy Glenn]
  • A. Wendy Glenn chosen
    Wendy Glenn is a British actress known for her roles in film and television, including a prominent part in the thriller "Mercy" (2009).
  • B. Wendy Kilbourne
    Wendy Kilbourne is an American former television actress best known for her roles in 1980s and early 1990s TV dramas.
  • C. Wendy Alden
    Wendy Alden is the central protagonist of the 2012 horror-thriller film "Shiver," a timid young woman forced to confront a sadistic serial killer who targets her.
  • D. Joyce Emrick
    Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
  • E. Georgia Ann Wiedemeier
    Georgia Ann Wiedemeier is best known as the wife of American author Robert James Waller, who wrote the bestselling novel "The Bridges of Madison County."
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.