Triple

T1087521
Position Surface form Disambiguated ID Type / Status
Subject Sonny Jurgensen E24085 entity
Predicate nickname P55 FINISHED
Object Sonny
Sonny is the nickname of Sonny Jurgensen, a Hall of Fame American football quarterback best known for his prolific passing career with the Washington Redskins.
E126079 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: Sonny | Statement: [Sonny Jurgensen, nickname, Sonny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonny
Context triple: [Sonny Jurgensen, nickname, Sonny]
  • A. Sammy
    Sammy is the owl mascot of Rice University, known for representing the school's athletic teams and spirit.
  • B. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • C. Eddie
    Eddie is a common diminutive form of the given name Edward, often used as a familiar or informal nickname.
  • D. Richie
    Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
  • E. Axel Foley
    Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
  • 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: Sonny
Triple: [Sonny Jurgensen, nickname, Sonny]
Generated description
Sonny is the nickname of Sonny Jurgensen, a Hall of Fame American football quarterback best known for his prolific passing career with the Washington Redskins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonny
Target entity description: Sonny is the nickname of Sonny Jurgensen, a Hall of Fame American football quarterback best known for his prolific passing career with the Washington Redskins.
  • A. Sammy
    Sammy is the owl mascot of Rice University, known for representing the school's athletic teams and spirit.
  • B. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • C. Eddie
    Eddie is a common diminutive form of the given name Edward, often used as a familiar or informal nickname.
  • D. Richie
    Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
  • E. Axel Foley
    Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c243cbc81908d6101faad628fc8 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4cae760881909329701561ad2ba6 completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d7176808190b74d535d7e1b7c6a completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:42 p.m.