Triple

T16207452
Position Surface form Disambiguated ID Type / Status
Subject New York drill scene E393364 entity
Predicate notableArtist P601 FINISHED
Object 22Gz
22Gz is a Brooklyn-based rapper recognized as one of the pioneers of the modern New York drill sound.
 E1200077 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: 22Gz | Statement: [New York drill scene, notableArtist, 22Gz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 22Gz
Context triple: [New York drill scene, notableArtist, 22Gz]
  • A. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • B. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • C. ZGG
    ZGG is the National Rail station code assigned to Gunnersbury railway station in London.
  • D. 22 Gp
    22 Gp is a Royal Air Force group-level formation responsible for overseeing training and education within the RAF.
  • E. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • 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: 22Gz
Triple: [New York drill scene, notableArtist, 22Gz]
Generated description
22Gz is a Brooklyn-based rapper recognized as one of the pioneers of the modern New York drill sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 22Gz
Target entity description: 22Gz is a Brooklyn-based rapper recognized as one of the pioneers of the modern New York drill sound.
  • A. G22
    G22 is BMW’s internal model designation for the second-generation 4 Series coupe, introduced with updated styling, technology, and performance over its predecessor.
  • B. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • C. ZGG
    ZGG is the National Rail station code assigned to Gunnersbury railway station in London.
  • D. 22 Gp
    22 Gp is a Royal Air Force group-level formation responsible for overseeing training and education within the RAF.
  • E. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007916d3481909d475f1661d80e77 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00083d7b54819089dbab566d55d638 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.