Triple

T18276405
Position Surface form Disambiguated ID Type / Status
Subject Ivan Damgård E437746 entity
Predicate knownFor P22 FINISHED
Object Damgård–Nielsen multiparty computation protocols
Damgård–Nielsen multiparty computation protocols are a family of cryptographic protocols that enable multiple parties to jointly compute a function over their private inputs while preserving security and privacy even in the presence of malicious adversaries.
E1315188 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: Damgård–Nielsen multiparty computation protocols | Statement: [Ivan Damgård, knownFor, Damgård–Nielsen multiparty computation protocols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damgård–Nielsen multiparty computation protocols
Context triple: [Ivan Damgård, knownFor, Damgård–Nielsen multiparty computation protocols]
  • A. Yao’s garbled circuits
    Yao’s garbled circuits is a foundational cryptographic protocol that enables secure two-party computation by allowing parties to jointly compute a function over their private inputs without revealing those inputs to each other.
  • B. Universal Composability framework
    The Universal Composability framework is a foundational cryptographic security model that enables protocols to remain secure even when composed with arbitrary other protocols running concurrently.
  • C. How to Exchange Secrets by Oblivious Transfer
    "How to Exchange Secrets by Oblivious Transfer" is a seminal cryptography paper by Michael O. Rabin that introduced the concept of oblivious transfer, a fundamental primitive for secure multi-party computation and privacy-preserving protocols.
  • D. Modern Cryptography, Probabilistic Proofs and Pseudorandomness
    "Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
  • E. 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.
  • 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: Damgård–Nielsen multiparty computation protocols
Triple: [Ivan Damgård, knownFor, Damgård–Nielsen multiparty computation protocols]
Generated description
Damgård–Nielsen multiparty computation protocols are a family of cryptographic protocols that enable multiple parties to jointly compute a function over their private inputs while preserving security and privacy even in the presence of malicious adversaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Damgård–Nielsen multiparty computation protocols
Target entity description: Damgård–Nielsen multiparty computation protocols are a family of cryptographic protocols that enable multiple parties to jointly compute a function over their private inputs while preserving security and privacy even in the presence of malicious adversaries.
  • A. Yao’s garbled circuits
    Yao’s garbled circuits is a foundational cryptographic protocol that enables secure two-party computation by allowing parties to jointly compute a function over their private inputs without revealing those inputs to each other.
  • B. Universal Composability framework
    The Universal Composability framework is a foundational cryptographic security model that enables protocols to remain secure even when composed with arbitrary other protocols running concurrently.
  • C. How to Exchange Secrets by Oblivious Transfer
    "How to Exchange Secrets by Oblivious Transfer" is a seminal cryptography paper by Michael O. Rabin that introduced the concept of oblivious transfer, a fundamental primitive for secure multi-party computation and privacy-preserving protocols.
  • D. Modern Cryptography, Probabilistic Proofs and Pseudorandomness
    "Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
  • E. 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.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3fdff648190a738adf86d8d470b completed May 12, 2026, 11:13 p.m.
NEDg Description generation batch_6a03b4bb6ae48190a68c2a3314f0d3ba completed May 12, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03b56958a0819088613a9726c71819 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:34 a.m.