Triple

T7976878
Position Surface form Disambiguated ID Type / Status
Subject Kunle Olukotun E185468 entity
Predicate affiliation P10 FINISHED
Object Stanford Pervasive Parallelism Lab
The Stanford Pervasive Parallelism Lab is a Stanford University research group focused on advancing parallel hardware and software architectures to improve the performance and efficiency of computing systems.
E703148 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: Stanford Pervasive Parallelism Lab | Statement: [Kunle Olukotun, affiliation, Stanford Pervasive Parallelism Lab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford Pervasive Parallelism Lab
Context triple: [Kunle Olukotun, affiliation, Stanford Pervasive Parallelism Lab]
  • A. UC Berkeley Parallel Computing Laboratory
    The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
  • B. GVU Center
    GVU Center is an interdisciplinary research center at Georgia Tech focused on advancing human-computer interaction, computing technologies, and their impact on society.
  • C. Stanford Computer Science Department
    The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
  • D. Stanford Artificial Intelligence Laboratory
    The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
  • E. MIT Laboratory for Computer Graphics and Spatial Analysis
    The MIT Laboratory for Computer Graphics and Spatial Analysis was a pioneering research lab at MIT that advanced computer graphics, mapping, and geographic information systems, laying groundwork for modern GIS technology.
  • 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: Stanford Pervasive Parallelism Lab
Triple: [Kunle Olukotun, affiliation, Stanford Pervasive Parallelism Lab]
Generated description
The Stanford Pervasive Parallelism Lab is a Stanford University research group focused on advancing parallel hardware and software architectures to improve the performance and efficiency of computing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stanford Pervasive Parallelism Lab
Target entity description: The Stanford Pervasive Parallelism Lab is a Stanford University research group focused on advancing parallel hardware and software architectures to improve the performance and efficiency of computing systems.
  • A. UC Berkeley Parallel Computing Laboratory
    The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
  • B. GVU Center
    GVU Center is an interdisciplinary research center at Georgia Tech focused on advancing human-computer interaction, computing technologies, and their impact on society.
  • C. Stanford Computer Science Department
    The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
  • D. Stanford Artificial Intelligence Laboratory
    The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
  • E. MIT Laboratory for Computer Graphics and Spatial Analysis
    The MIT Laboratory for Computer Graphics and Spatial Analysis was a pioneering research lab at MIT that advanced computer graphics, mapping, and geographic information systems, laying groundwork for modern GIS technology.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.