Triple

T4227431
Position Surface form Disambiguated ID Type / Status
Subject Dizzy Gillespie E94492 entity
Predicate nickname P55 FINISHED
Object Dizzy
Dizzy was the nickname of John Birks "Dizzy" Gillespie, the influential American jazz trumpeter and composer who was a key figure in the development of bebop.
 E422652 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: Dizzy | Statement: [Dizzy Gillespie, nickname, Dizzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dizzy
Context triple: [Dizzy Gillespie, nickname, Dizzy]
  • A. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • B. Big Drip
    "Big Drip" is a breakout drill single by Brooklyn rapper Fivio Foreign that helped popularize the Brooklyn drill sound in the late 2010s.
  • C. Deja Vu
    "Deja Vu" is a popular hip-hop track by American rapper J. Cole from his 2016 album "4 Your Eyez Only," known for its introspective lyrics and melodic production.
  • D. Deja Vu
    Deja Vu is a 2006 science fiction action thriller film starring Denzel Washington and Paula Patton, centered on time travel technology used to prevent a terrorist attack in New Orleans.
  • E. The Thrill
    "The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
  • 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: Dizzy
Triple: [Dizzy Gillespie, nickname, Dizzy]
Generated description
Dizzy was the nickname of John Birks "Dizzy" Gillespie, the influential American jazz trumpeter and composer who was a key figure in the development of bebop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dizzy
Target entity description: Dizzy was the nickname of John Birks "Dizzy" Gillespie, the influential American jazz trumpeter and composer who was a key figure in the development of bebop.
  • A. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • B. Big Drip
    "Big Drip" is a breakout drill single by Brooklyn rapper Fivio Foreign that helped popularize the Brooklyn drill sound in the late 2010s.
  • C. Deja Vu
    "Deja Vu" is a popular hip-hop track by American rapper J. Cole from his 2016 album "4 Your Eyez Only," known for its introspective lyrics and melodic production.
  • D. Deja Vu
    Deja Vu is a 2006 science fiction action thriller film starring Denzel Washington and Paula Patton, centered on time travel technology used to prevent a terrorist attack in New Orleans.
  • E. The Thrill
    "The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e5003008190834726e46df3ee9b completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964a388881908038e5a612424b9b completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cb73ac81909f83daca406ad8c4 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59a9c386081909c21ad554d403bfc completed March 14, 2026, 5:27 p.m.
Created at: March 12, 2026, 11:04 p.m.