Triple

T22445177
Position Surface form Disambiguated ID Type / Status
Subject Landin’s SECD machine E554845 entity
Predicate influenced P9 FINISHED
Object CAM (Categorical Abstract Machine) — 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: CAM (Categorical Abstract Machine) | Statement: [Landin’s SECD machine, influenced, CAM (Categorical Abstract Machine)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAM (Categorical Abstract Machine)
Context triple: [Landin’s SECD machine, influenced, CAM (Categorical Abstract Machine)]
  • A. Landin’s SECD machine
    Landin’s SECD machine is an early abstract machine for functional programming languages that introduced a systematic model for evaluating expressions using a stack, environment, control, and dump.
  • B. Scheme: An Interpreter for Extended Lambda Calculus
    "Scheme: An Interpreter for Extended Lambda Calculus" is the seminal 1975 technical report by Gerald Jay Sussman and Guy L. Steele Jr. that introduced the Scheme programming language and demonstrated the power of lexical scoping and first-class procedures in a minimalist Lisp dialect.
  • C. Algol 68R
    Algol 68R is a revised, more practical and implementable version of the Algol 68 programming language, created to simplify and clarify the original language’s complex design.
  • D. Algol 68C
    Algol 68C is a compiler implementation of the Algol 68 programming language, designed to translate its advanced structured constructs into executable machine code.
  • E. The Architecture Machine
    The Architecture Machine is a seminal book by Nicholas Negroponte that explores the concept of interactive, computer-based design systems and their implications for architecture and human–machine collaboration.
  • 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: CAM (Categorical Abstract Machine)
Target entity description: The Categorical Abstract Machine (CAM) is an abstract machine designed to implement functional programming languages using concepts from category theory, particularly for efficient compilation of languages like ML.
  • A. Landin’s SECD machine
    Landin’s SECD machine is an early abstract machine for functional programming languages that introduced a systematic model for evaluating expressions using a stack, environment, control, and dump.
  • B. Scheme: An Interpreter for Extended Lambda Calculus
    "Scheme: An Interpreter for Extended Lambda Calculus" is the seminal 1975 technical report by Gerald Jay Sussman and Guy L. Steele Jr. that introduced the Scheme programming language and demonstrated the power of lexical scoping and first-class procedures in a minimalist Lisp dialect.
  • C. Algol 68R
    Algol 68R is a revised, more practical and implementable version of the Algol 68 programming language, created to simplify and clarify the original language’s complex design.
  • D. Algol 68C
    Algol 68C is a compiler implementation of the Algol 68 programming language, designed to translate its advanced structured constructs into executable machine code.
  • E. The Architecture Machine
    The Architecture Machine is a seminal book by Nicholas Negroponte that explores the concept of interactive, computer-based design systems and their implications for architecture and human–machine collaboration.
  • F. None of above. chosen

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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b46e8ac8190bfa8c611ffcba822 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:47 p.m.