Triple

T13320121
Position Surface form Disambiguated ID Type / Status
Subject AMD Instinct E317291 entity
Predicate brandingOf P1500 FINISHED
Object AMD data center GPU accelerators
AMD data center GPU accelerators are high-performance graphics processors designed to accelerate compute-intensive workloads such as AI, machine learning, and high-performance computing in server and cloud environments.
E1033642 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: AMD data center GPU accelerators | Statement: [AMD Instinct, brandingOf, AMD data center GPU accelerators]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMD data center GPU accelerators
Context triple: [AMD Instinct, brandingOf, AMD data center GPU accelerators]
  • A. NVIDIA Tesla data center GPUs
    NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
  • B. AMD Radeon GCN-based GPU
    The AMD Radeon GCN-based GPU is a graphics processor architecture from AMD’s Graphics Core Next family, widely used in gaming consoles and PCs for efficient, parallel graphics and compute performance.
  • C. AMD TeraScale architecture
    AMD TeraScale architecture is a previous-generation GPU microarchitecture from AMD used in earlier Radeon graphics cards, known for introducing a unified shader design before being succeeded by the GCN architecture.
  • D. AMD Radeon GPUs
    AMD Radeon GPUs are a family of graphics processing units from AMD designed for gaming, professional visualization, and compute workloads, competing directly with NVIDIA’s GeForce and other discrete graphics solutions.
  • E. AMD Radeon RX Vega series
    The AMD Radeon RX Vega series is a family of high-end graphics cards based on AMD’s Vega architecture, designed for demanding gaming and professional graphics workloads.
  • 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: AMD data center GPU accelerators
Triple: [AMD Instinct, brandingOf, AMD data center GPU accelerators]
Generated description
AMD data center GPU accelerators are high-performance graphics processors designed to accelerate compute-intensive workloads such as AI, machine learning, and high-performance computing in server and cloud environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AMD data center GPU accelerators
Target entity description: AMD data center GPU accelerators are high-performance graphics processors designed to accelerate compute-intensive workloads such as AI, machine learning, and high-performance computing in server and cloud environments.
  • A. NVIDIA Tesla data center GPUs
    NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
  • B. AMD Radeon GCN-based GPU
    The AMD Radeon GCN-based GPU is a graphics processor architecture from AMD’s Graphics Core Next family, widely used in gaming consoles and PCs for efficient, parallel graphics and compute performance.
  • C. AMD TeraScale architecture
    AMD TeraScale architecture is a previous-generation GPU microarchitecture from AMD used in earlier Radeon graphics cards, known for introducing a unified shader design before being succeeded by the GCN architecture.
  • D. AMD Radeon GPUs
    AMD Radeon GPUs are a family of graphics processing units from AMD designed for gaming, professional visualization, and compute workloads, competing directly with NVIDIA’s GeForce and other discrete graphics solutions.
  • E. AMD Radeon RX Vega series
    The AMD Radeon RX Vega series is a family of high-end graphics cards based on AMD’s Vega architecture, designed for demanding gaming and professional graphics workloads.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990faa95481908a7fd297959c062e completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:29 p.m.