Triple

T8540245
Position Surface form Disambiguated ID Type / Status
Subject Sonny Vaccaro E202176 entity
Predicate givenName P17 FINISHED
Object John
John is the given first name of American sports marketing executive Sonny Vaccaro, known for his influential role in basketball shoe endorsement deals.
E740249 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: John | Statement: [Sonny Vaccaro, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sonny Vaccaro, givenName, John]
  • A. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John is the given name of the influential American jazz saxophonist and composer John Coltrane.
  • D. John
    John is the given name of John Stevens Henslow, the 19th-century English clergyman, botanist, and mentor to Charles Darwin.
  • E. John
    John is the birth name of American character actor Jack Warden, known for his prolific film and television career 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: John
Triple: [Sonny Vaccaro, givenName, John]
Generated description
John is the given first name of American sports marketing executive Sonny Vaccaro, known for his influential role in basketball shoe endorsement deals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given first name of American sports marketing executive Sonny Vaccaro, known for his influential role in basketball shoe endorsement deals.
  • A. John
    John is the first name of Jack Ramsay, the renowned American basketball coach and Hall of Famer.
  • B. John
    John is the given name of John Havlicek, a legendary Boston Celtics swingman widely regarded as one of the greatest players in NBA history.
  • C. John
    John is the given name of John Wooden, the legendary American basketball coach renowned for his success at UCLA and his influential leadership philosophy.
  • D. John
    John is the given name of John Sculley, the former Apple CEO and prominent American business executive.
  • E. John
    John is the first name of John W. Henry, the American businessman and principal owner of the Boston Red Sox and Liverpool F.C.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6dfb2bc8190a41e32eca3c824c2 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d2eef208190b505a64d01f656f4 completed April 2, 2026, 1:20 p.m.
NEDg Description generation batch_69ce6e69213c8190add7eb9cc74b1a33 completed April 2, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f28ae6481909a8a13613f3eb5e0 completed April 2, 2026, 1:29 p.m.
Created at: March 30, 2026, 6:18 p.m.