Triple

T22093259
Position Surface form Disambiguated ID Type / Status
Subject The Commuter E545960 entity
Predicate starring P1507 FINISHED
Object Jonathan Banks 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: Jonathan Banks | Statement: [The Commuter, starring, Jonathan Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Banks
Context triple: [The Commuter, starring, Jonathan Banks]
  • A. Jonathan Banks chosen
    Jonathan Banks is an American character actor best known for his acclaimed portrayal of fixer Mike Ehrmantraut in the television dramas Breaking Bad and Better Call Saul.
  • B. Donald Faison
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • C. Robert Duff
    Robert Duff was a British nobleman and public official who served as the monarch’s representative in Elginshire (now Moray) in Scotland.
  • D. Gerald McRaney
    Gerald McRaney is an American actor best known for his television roles in series such as "Simon & Simon," "Major Dad," and "This Is Us."
  • E. Chris Givens
    Chris Givens is a former American football wide receiver who played college football at Wake Forest University before moving on to a professional career in the NFL.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.