Triple

T21457507
Position Surface form Disambiguated ID Type / Status
Subject Franz Lisp E529380 entity
Predicate influencedBy P9 FINISHED
Object Lisp 1.5 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: Lisp 1.5 | Statement: [Franz Lisp, influencedBy, Lisp 1.5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisp 1.5
Context triple: [Franz Lisp, influencedBy, Lisp 1.5]
  • A. Lisp Machine Lisp
    Lisp Machine Lisp is a dialect of the Lisp programming language developed for specialized Lisp machine hardware, notable for its rich object system and tight integration with the underlying operating environment.
  • B. Maclisp
    Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
  • C. Franz Lisp
    Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
  • D. Interlisp
    Interlisp was an early, influential dialect and programming environment of the Lisp language, notable for its integrated development tools and impact on later Lisp systems.
  • E. Lisp (programming language book)
    "Lisp" is a classic introductory textbook on the Lisp programming language by Patrick Henry Winston, widely used for teaching symbolic computation and artificial intelligence concepts.
  • 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: Lisp 1.5
Target entity description: Lisp 1.5 is an early and influential version of the Lisp programming language that helped establish many of the language’s core concepts and shaped subsequent Lisp dialects.
  • A. Lisp Machine Lisp
    Lisp Machine Lisp is a dialect of the Lisp programming language developed for specialized Lisp machine hardware, notable for its rich object system and tight integration with the underlying operating environment.
  • B. Maclisp
    Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
  • C. Franz Lisp
    Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
  • D. Interlisp
    Interlisp was an early, influential dialect and programming environment of the Lisp language, notable for its integrated development tools and impact on later Lisp systems.
  • E. Lisp (programming language book)
    "Lisp" is a classic introductory textbook on the Lisp programming language by Patrick Henry Winston, widely used for teaching symbolic computation and artificial intelligence concepts.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d7af248190a3bc06a390f390bf completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.