Triple

T18073248
Position Surface form Disambiguated ID Type / Status
Subject Ride the Pink Horse E432485 entity
Predicate starring P1507 FINISHED
Object Andrea King 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: Andrea King | Statement: [Ride the Pink Horse, starring, Andrea King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea King
Context triple: [Ride the Pink Horse, starring, Andrea King]
  • A. Andrea King chosen
    Andrea King was an American film and television actress best known for her roles in 1940s and 1950s Hollywood thrillers and dramas.
  • B. Jessica King
    Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
  • C. Andrea Agee
    Andrea Agee is known primarily as a child of the American writer and film critic James Agee.
  • D. Adrienne King
    Adrienne King is an American actress best known for playing final girl Alice Hardy in the original 1980 slasher film "Friday the 13th."
  • E. Andrea Waters King
    Andrea Waters King is an American philanthropist and human rights advocate known for her work in social justice and for being married to civil rights leader Martin Luther King III.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.