Triple

T16799412
Position Surface form Disambiguated ID Type / Status
Subject Peter Gould E408315 entity
Predicate collaboratedWith P435 FINISHED
Object Jonathan Banks E285611 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: Jonathan Banks | Statement: [Peter Gould, collaboratedWith, Jonathan Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Banks
Context triple: [Peter Gould, collaboratedWith, 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. John Carroll Lynch
    John Carroll Lynch is an American character actor known for his versatile roles in film and television, including notable performances in works like "Fargo," "Zodiac," and "American Horror Story."
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2abc430819080c1303eded5f416 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.