Triple

T14295210
Position Surface form Disambiguated ID Type / Status
Subject Butler Lampson E354420 entity
Predicate notableWork P4 FINISHED
Object Butler Lampson security model
The Butler Lampson security model is a foundational computer security framework that formalizes access control using capabilities and protection domains to manage and restrict how programs and users interact with system resources.
E1091317 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: Butler Lampson security model | Statement: [Butler Lampson, notableWork, Butler Lampson security model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butler Lampson security model
Context triple: [Butler Lampson, notableWork, Butler Lampson security model]
  • A. Windows NT security model
    The Windows NT security model is a comprehensive, enterprise-oriented access control and authentication framework used by Windows operating systems to manage user rights, permissions, and system protection.
  • B. “seL4: Formal Verification of an OS Kernel”
    “seL4: Formal Verification of an OS Kernel” is a landmark research paper that presents the first formally verified, general-purpose microkernel, demonstrating end-to-end mathematical proofs of its functional correctness and security properties.
  • C. View-based Access Control Model
    The View-based Access Control Model (VACM) is a security framework for SNMP that controls which portions of management data each user or group is allowed to access based on configurable views.
  • D. the "Reflections on Trusting Trust" lecture and paper
    "Reflections on Trusting Trust" is Ken Thompson’s influential 1984 Turing Award lecture and paper that exposed how a compiler could be maliciously modified to invisibly insert security vulnerabilities, fundamentally shaping thinking about software trust and supply-chain security.
  • E. User-based Security Model
    The User-based Security Model is a framework for providing authentication, privacy, and access control in SNMPv3 by defining security based on individual user identities and associated cryptographic keys.
  • 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: Butler Lampson security model
Triple: [Butler Lampson, notableWork, Butler Lampson security model]
Generated description
The Butler Lampson security model is a foundational computer security framework that formalizes access control using capabilities and protection domains to manage and restrict how programs and users interact with system resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Butler Lampson security model
Target entity description: The Butler Lampson security model is a foundational computer security framework that formalizes access control using capabilities and protection domains to manage and restrict how programs and users interact with system resources.
  • A. Windows NT security model
    The Windows NT security model is a comprehensive, enterprise-oriented access control and authentication framework used by Windows operating systems to manage user rights, permissions, and system protection.
  • B. “seL4: Formal Verification of an OS Kernel”
    “seL4: Formal Verification of an OS Kernel” is a landmark research paper that presents the first formally verified, general-purpose microkernel, demonstrating end-to-end mathematical proofs of its functional correctness and security properties.
  • C. View-based Access Control Model
    The View-based Access Control Model (VACM) is a security framework for SNMP that controls which portions of management data each user or group is allowed to access based on configurable views.
  • D. the "Reflections on Trusting Trust" lecture and paper
    "Reflections on Trusting Trust" is Ken Thompson’s influential 1984 Turing Award lecture and paper that exposed how a compiler could be maliciously modified to invisibly insert security vulnerabilities, fundamentally shaping thinking about software trust and supply-chain security.
  • E. User-based Security Model
    The User-based Security Model is a framework for providing authentication, privacy, and access control in SNMPv3 by defining security based on individual user identities and associated cryptographic keys.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3ded77748190b35908e046ccce67 completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e7425348190abf09c103cc17305 completed May 8, 2026, 1:37 a.m.
Created at: April 10, 2026, 1:11 a.m.