Triple

T8207028
Position Surface form Disambiguated ID Type / Status
Subject Lady for a Day E191712 entity
Predicate stars P1956 FINISHED
Object Glenda Farrell E251911 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: Glenda Farrell | Statement: [Lady for a Day, stars, Glenda Farrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenda Farrell
Context triple: [Lady for a Day, stars, 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. 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.
  • C. 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.
  • D. Gloria Connors
    Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
  • E. Glenda Parks
    Glenda Parks is the central protagonist of the romantic comedy film "Seems Like Old Times," around whom the story’s comedic and romantic entanglements revolve.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:43 p.m.