Triple

T11210238
Position Surface form Disambiguated ID Type / Status
Subject Tony E265285 entity
Predicate hasSpellingVariant P457 FINISHED
Object Toney
Toney is a given name and surname that functions primarily as a spelling variant of the name Tony.
 E911968 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: Toney | Statement: [Tony, hasSpellingVariant, Toney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toney
Context triple: [Tony, hasSpellingVariant, Toney]
  • A. Tino
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • B. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • C. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • D. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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: Toney
Triple: [Tony, hasSpellingVariant, Toney]
Generated description
Toney is a given name and surname that functions primarily as a spelling variant of the name Tony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toney
Target entity description: Toney is a given name and surname that functions primarily as a spelling variant of the name Tony.
  • A. Tino
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • B. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • C. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • D. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.