Triple

T23370635
Position Surface form Disambiguated ID Type / Status
Subject Punk E593460 entity
Predicate producer P490 FINISHED
Object JetsonMade E1192936 NE FINISHED

How this triple was built (2 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: JetsonMade | Statement: [Punk, producer, JetsonMade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JetsonMade
Context triple: [Punk, producer, JetsonMade]
  • A. JetsonMade chosen
    JetsonMade is an American record producer known for his minimalist, hard-hitting trap beats and work with prominent hip-hop artists such as DaBaby and Roddy Ricch.
  • B. Jetson
    Jetson is the surname of the futuristic cartoon family featured in the classic animated television series "The Jetsons."
  • C. NVIDIA JetPack SDK
    NVIDIA JetPack SDK is an all-in-one software development kit that provides Linux, CUDA, AI, computer vision, and multimedia libraries and tools for building applications on NVIDIA Jetson embedded platforms.
  • D. NVIDIA Jetson embedded modules
    NVIDIA Jetson embedded modules are compact, power-efficient computing platforms designed for edge AI and robotics applications, integrating GPU-accelerated processing for tasks like computer vision and deep learning.
  • E. Nvidia Tegra K1
    The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0b0bdc081908c7852c026ca7ff7 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddde5608190acd427c4b8740733 completed May 19, 2026, 12:55 p.m.
Created at: April 17, 2026, 5:32 p.m.