Triple

T8636901
Position Surface form Disambiguated ID Type / Status
Subject Astroworld E204545 entity
Predicate producer P490 FINISHED
Object Turbo
Turbo is a hip-hop record producer known for crafting melodic, trap-influenced beats for prominent artists such as Gunna, Young Thug, and Lil Baby.
 E747303 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: Turbo | Statement: [Astroworld, producer, Turbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turbo
Context triple: [Astroworld, producer, Turbo]
  • A. Turbo
    Turbo is a 2013 animated sports-comedy film from DreamWorks Animation about a garden snail who gains incredible speed and pursues his dream of racing in the Indianapolis 500.
  • B. Turbo
    Turbo is a Colombian port city in the Antioquia Department, located on the Gulf of Urabá and known as a key gateway between the interior of Colombia and the Caribbean Sea.
  • C. Turbo Express
    Turbo Express is the popular nickname for the British Rail Class 166 diesel multiple-unit trains used for regional and commuter services in the UK.
  • D. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • E. Racer
    Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
  • 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: Turbo
Triple: [Astroworld, producer, Turbo]
Generated description
Turbo is a hip-hop record producer known for crafting melodic, trap-influenced beats for prominent artists such as Gunna, Young Thug, and Lil Baby.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turbo
Target entity description: Turbo is a hip-hop record producer known for crafting melodic, trap-influenced beats for prominent artists such as Gunna, Young Thug, and Lil Baby.
  • A. Turbo
    Turbo is a Colombian port city in the Antioquia Department, located on the Gulf of Urabá and known as a key gateway between the interior of Colombia and the Caribbean Sea.
  • B. Turbo
    Turbo is a 2013 animated sports-comedy film from DreamWorks Animation about a garden snail who gains incredible speed and pursues his dream of racing in the Indianapolis 500.
  • C. Turbo Express
    Turbo Express is the popular nickname for the British Rail Class 166 diesel multiple-unit trains used for regional and commuter services in the UK.
  • D. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • E. Racer
    Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc23d6808190801993e41d93bb9c completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebcc2d8c08190a7273123fb79b9f7 completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebd48bde481909b508d52f4720989 completed April 2, 2026, 7:02 p.m.
Created at: March 30, 2026, 6:27 p.m.