Triple

T20578285
Position Surface form Disambiguated ID Type / Status
Subject Michael Shub E505281 entity
Predicate notableWork P4 FINISHED
Object Blum–Blum–Shub pseudorandom number generator NE NERFINISHED

How this triple was built (2 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: Blum–Blum–Shub pseudorandom number generator | Statement: [Michael Shub, notableWork, Blum–Blum–Shub pseudorandom number generator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blum–Blum–Shub pseudorandom number generator
Context triple: [Michael Shub, notableWork, Blum–Blum–Shub pseudorandom number generator]
  • A. Blum–Blum–Shub pseudorandom number generator chosen
    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.
  • B. 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.
  • C. Naor–Reingold pseudorandom function
    The Naor–Reingold pseudorandom function is a foundational cryptographic construction that provides a simple, efficient, and provably secure method for generating pseudorandom outputs from secret keys based on number-theoretic assumptions.
  • D. Goldwasser–Micali cryptosystem
    The Goldwasser–Micali cryptosystem is a pioneering probabilistic public-key encryption scheme that provides semantic security by encrypting each bit of a message using quadratic residuosity assumptions.
  • E. Fiat–Shamir heuristic
    The Fiat–Shamir heuristic is a cryptographic technique that transforms interactive proof systems into non-interactive ones using hash functions, widely used in digital signatures and zero-knowledge proofs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90cc22c8190969e3a21ae92f1c9 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.