Triple

T20808467
Position Surface form Disambiguated ID Type / Status
Subject Twin Beds E512231 entity
Predicate hasCastMember P2308 FINISHED
Object Glenda Farrell 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: Glenda Farrell | Statement: [Twin Beds, hasCastMember, Glenda Farrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenda Farrell
Context triple: [Twin Beds, hasCastMember, Glenda Farrell]
  • A. Glenda Farrell chosen
    Glenda Farrell was an American film, stage, and television actress best known for her sharp-tongued, fast-talking roles in 1930s Hollywood, including the popular Torchy Blane detective series.
  • B. Glenda Ledford
    Glenda Ledford is an American local politician who serves as the mayor of Wasilla, Alaska.
  • C. Glennis Grace
    Glennis Grace is a Dutch singer known for her powerful vocal performances, including representing the Netherlands at the Eurovision Song Contest and appearing on international talent shows.
  • D. Darlene Hunt
    Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
  • E. Glenda Crawford
    Glenda Crawford is the spirited American heiress who serves as the romantic lead in the 1940 musical film "Down Argentine Way."
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d0a2a081908fb0e3d890e87aaf completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.