Triple

T10089843
Position Surface form Disambiguated ID Type / Status
Subject Andrea King E215313 entity
Predicate name P16 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: [Andrea King, name, Andrea King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea King
Context triple: [Andrea King, name, 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 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.
  • D. Nicole King
    Nicole King is a film producer known for her work on the family comedy movie "Yes Day."
  • E. Diana King
    Diana King is a Jamaican singer-songwriter best known for her fusion of reggae, pop, and R&B, including hits like "Shy Guy" and acclaimed cover versions of classic songs.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.