Triple

T4443372
Position Surface form Disambiguated ID Type / Status
Subject Random E96222 entity
Predicate defaultRNGType P56538 FINISHED
Object MersenneTwister E440656 NE FINISHED

How this triple was built (3 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: MersenneTwister | Statement: [Random, defaultRNGType, MersenneTwister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MersenneTwister
Context triple: [Random, defaultRNGType, MersenneTwister]
  • A. MersenneTwister chosen
    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. 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.
  • D. 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.
  • E. Monte Carlo
    Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: defaultRNGType
Context triple: [Random, defaultRNGType, MersenneTwister]
  • A. defaultSolver
    Indicates that one entity functions as the standard or primary solver used by another entity or within a given context.
  • B. typicalSeed
    Indicates that something is a usual or characteristic seed for a given plant or context.
  • C. seedUse
    Indicates the use or application of seeds for a particular purpose, such as planting, cultivation, or propagation.
  • D. seedSize
    Indicates the relative magnitude or dimensions of a seed in comparison to others or to a standard.
  • E. uniformSupplier
    Indicates that one entity supplies uniforms to another entity, typically as a regular or designated provider.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355b052688190a0d8e5912f82151c completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376286e48190906874d67c730dc9 completed March 15, 2026, 4:36 a.m.
PD Predicate disambiguation batch_69b34f62c180819097ced38da2052207 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b35034cd248190bae09e9d090e13ec completed March 12, 2026, 11:45 p.m.
Created at: March 12, 2026, 11:32 p.m.