Triple

T6225637
Position Surface form Disambiguated ID Type / Status
Subject John Cusack E139225 entity
Predicate familyName P18 FINISHED
Object Cusack
Cusack is a surname most prominently associated with American actor and screenwriter John Cusack and his family of performers.
E139225 NE FINISHED

How this triple was built (4 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: Cusack | Statement: [John Cusack, familyName, Cusack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cusack
Context triple: [John Cusack, familyName, Cusack]
  • A. 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.
  • B. Pat Connaughton
    Pat Connaughton is an American professional basketball player and former two-sport standout at Notre Dame who has played as a guard/forward in the NBA, notably for the Milwaukee Bucks.
  • C. Sheen
    Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
  • D. Brian Doyle-Murray
    Brian Doyle-Murray is an American actor, comedian, and writer known for his character roles in films and television and for being the older brother of Bill Murray.
  • E. Hugh Hunt
    Hugh Hunt was an American film art director and set decorator known for his work on numerous Hollywood productions in the mid-20th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cusack
Triple: [John Cusack, familyName, Cusack]
Generated description
Cusack is a surname most prominently associated with American actor and screenwriter John Cusack and his family of performers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cusack
Target entity description: Cusack is a surname most prominently associated with American actor and screenwriter John Cusack and his family of performers.
  • A. John Cusack chosen
    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.
  • B. Pat Connaughton
    Pat Connaughton is an American professional basketball player and former two-sport standout at Notre Dame who has played as a guard/forward in the NBA, notably for the Milwaukee Bucks.
  • C. Sheen
    Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
  • D. Brian Doyle-Murray
    Brian Doyle-Murray is an American actor, comedian, and writer known for his character roles in films and television and for being the older brother of Bill Murray.
  • E. Hugh Hunt
    Hugh Hunt was an American film art director and set decorator known for his work on numerous Hollywood productions in the mid-20th century.
  • F. None of above.

Provenance (5 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d42c688190be4d8d8325d6daaa completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21131f31881909704aac2130d25a7 completed March 24, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c2118792948190b54b6b54d52d291d completed March 24, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:22 p.m.