Triple

T8823536
Position Surface form Disambiguated ID Type / Status
Subject cuRAND E209959 entity
Predicate provides P490 FINISHED
Object XORWOW generator
The XORWOW generator is a pseudorandom number generator algorithm used in NVIDIA's cuRAND library, known for its speed and suitability for parallel computations on GPUs.
 E209959 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: XORWOW generator | Statement: [cuRAND, provides, XORWOW generator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XORWOW generator
Context triple: [cuRAND, provides, XORWOW generator]
  • A. MersenneTwister
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • B. cuRAND
    cuRAND is NVIDIA's GPU-accelerated random number generation library designed to efficiently produce high-quality random numbers for parallel applications using CUDA.
  • C. System.Random
    System.Random is a .NET class that provides methods for generating pseudo-random numbers for use in applications.
  • D. Blum–Blum–Shub pseudorandom number generator
    The Blum–Blum–Shub pseudorandom number generator is a cryptographically secure generator based on the hardness of factoring large composite numbers, widely studied in theoretical computer science and cryptography.
  • E. Blum–Micali pseudorandom number generator
    The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
  • 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: XORWOW generator
Triple: [cuRAND, provides, XORWOW generator]
Generated description
The XORWOW generator is a pseudorandom number generator algorithm used in NVIDIA's cuRAND library, known for its speed and suitability for parallel computations on GPUs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XORWOW generator
Target entity description: The XORWOW generator is a pseudorandom number generator algorithm used in NVIDIA's cuRAND library, known for its speed and suitability for parallel computations on GPUs.
  • A. MersenneTwister
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • B. cuRAND chosen
    cuRAND is NVIDIA's GPU-accelerated random number generation library designed to efficiently produce high-quality random numbers for parallel applications using CUDA.
  • C. System.Random
    System.Random is a .NET class that provides methods for generating pseudo-random numbers for use in applications.
  • D. Blum–Blum–Shub pseudorandom number generator
    The Blum–Blum–Shub pseudorandom number generator is a cryptographically secure generator based on the hardness of factoring large composite numbers, widely studied in theoretical computer science and cryptography.
  • E. Blum–Micali pseudorandom number generator
    The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
  • F. None of above.

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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6030b25081909d67488b35a72e05 completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf893e08b0819083c2d152d0f9c263 completed April 3, 2026, 9:32 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:46 p.m.