Triple

T6730707
Position Surface form Disambiguated ID Type / Status
Subject Can’t Hardly Wait E153625 entity
Predicate castMember P1668 FINISHED
Object Donald Faison E32639 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: Donald Faison | Statement: [Can’t Hardly Wait, castMember, Donald Faison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Faison
Context triple: [Can’t Hardly Wait, castMember, Donald Faison]
  • A. Donald Faison chosen
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • B. James Robert Plemons
    James Robert Plemons is the son of American actors Kirsten Dunst and Jesse Plemons.
  • C. Tim Healy
    Tim Healy is an English actor best known for his comedic and dramatic television roles, particularly in popular British series.
  • D. Tim Healy
    Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
  • E. Jonathan Banks
    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.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723be89c88190b4e231099b2a3071 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:09 p.m.