Triple

T10707654
Position Surface form Disambiguated ID Type / Status
Subject Gerry Cooney E252448 entity
Predicate familyName P18 FINISHED
Object Cooney
Cooney is a surname most notably associated with Gerry Cooney, an American former professional heavyweight boxer known for his powerful punching.
 E880453 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: Cooney | Statement: [Gerry Cooney, familyName, Cooney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cooney
Context triple: [Gerry Cooney, familyName, Cooney]
  • A. Conoley
    Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
  • B. Coney
    Coney is a surname most prominently associated with Amy Vivian Coney Barrett, an American jurist and Associate Justice of the U.S. Supreme Court.
  • C. Conie
    Conie is a river in France that serves as a right-bank tributary of the Loir.
  • D. Coy
    Coy is a given name that can be used for individuals of any gender, often appearing in English-speaking contexts.
  • E. Cosey
    Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
  • 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: Cooney
Triple: [Gerry Cooney, familyName, Cooney]
Generated description
Cooney is a surname most notably associated with Gerry Cooney, an American former professional heavyweight boxer known for his powerful punching.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cooney
Target entity description: Cooney is a surname most notably associated with Gerry Cooney, an American former professional heavyweight boxer known for his powerful punching.
  • A. Conoley
    Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
  • B. Coney
    Coney is a surname most prominently associated with Amy Vivian Coney Barrett, an American jurist and Associate Justice of the U.S. Supreme Court.
  • C. Conie
    Conie is a river in France that serves as a right-bank tributary of the Loir.
  • D. Coy
    Coy is a given name that can be used for individuals of any gender, often appearing in English-speaking contexts.
  • E. Cosey
    Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
  • F. None of above. chosen

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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:12 p.m.