Triple

T18234105
Position Surface form Disambiguated ID Type / Status
Subject The Man I Love E436622 entity
Predicate stars P1956 FINISHED
Object Andrea King E215313 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: Andrea King | Statement: [The Man I Love, stars, Andrea King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea King
Context triple: [The Man I Love, stars, 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 (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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b512a88190aa493b0793ab28b3 completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac6b09a481908825c30db5574299 completed May 12, 2026, 10:40 p.m.
Created at: April 10, 2026, 10:33 a.m.