Triple

T17676592
Position Surface form Disambiguated ID Type / Status
Subject Mersenne Twister E440656 entity
Predicate isUsedIn P98 FINISHED
Object C++ standard library <random> as std::mt19937 NE NERFINISHED

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: C++ standard library <random> as std::mt19937 | Statement: [Mersenne Twister, isUsedIn, C++ standard library <random> as std::mt19937]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C++ standard library <random> as std::mt19937
Context triple: [Mersenne Twister, isUsedIn, C++ standard library <random> as std::mt19937]
  • A. MersenneTwister
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • B. C++ standard library
    The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
  • C. MRG32k3a generator
    The MRG32k3a generator is a high-quality combined multiple recursive pseudorandom number generator widely used in scientific computing and simulations for its long period and good statistical properties.
  • D. cuRAND
    cuRAND is NVIDIA's GPU-accelerated random number generation library designed to efficiently produce high-quality random numbers for parallel applications using CUDA.
  • E. Marsaglia
    Marsaglia is a locality in northwestern Italy historically noted as the site of the 1693 Battle of Marsaglia during the Nine Years' War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C++ standard library <random> as std::mt19937
Target entity description: std::mt19937 is a C++ standard library pseudo-random number generator engine implementing the 32-bit Mersenne Twister algorithm, known for its long period and good statistical properties.
  • A. MersenneTwister chosen
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • B. C++ standard library
    The C++ standard library is a collection of ready-made classes and functions that provide core utilities such as containers, algorithms, input/output, and threading support for C++ programs.
  • C. MRG32k3a generator
    The MRG32k3a generator is a high-quality combined multiple recursive pseudorandom number generator widely used in scientific computing and simulations for its long period and good statistical properties.
  • D. cuRAND
    cuRAND is NVIDIA's GPU-accelerated random number generation library designed to efficiently produce high-quality random numbers for parallel applications using CUDA.
  • E. Marsaglia
    Marsaglia is a locality in northwestern Italy historically noted as the site of the 1693 Battle of Marsaglia during the Nine Years' War.
  • F. None of above.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6d9ab88190ab0e25eac8b0101c completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.