Triple

T23197956
Position Surface form Disambiguated ID Type / Status
Subject Dick Cusack E579926 entity
Predicate name P16 FINISHED
Object Dick Cusack 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: Dick Cusack | Statement: [Dick Cusack, name, Dick Cusack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Cusack
Context triple: [Dick Cusack, name, Dick Cusack]
  • A. Dick Cusack chosen
    Dick Cusack was an American actor, filmmaker, and advertising executive, best known as the patriarch of the Cusack acting family.
  • B. John Cusack
    John Cusack is an American actor, screenwriter, and producer known for his roles in films like "Say Anything..." and "High Fidelity" and for his outspoken political activism.
  • C. John Reilly
    John Reilly was an American actor best known for his long-running roles on daytime soap operas such as General Hospital and Passions.
  • D. John Reilly
    John Reilly is a musician known for being a member of the Irish-American Celtic rock band O'Malley's March.
  • E. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907770b48190a3194ecce9b45f09 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.