Triple

T21457549
Position Surface form Disambiguated ID Type / Status
Subject Lisp Machine Lisp E529381 entity
Predicate designedFor P98 FINISHED
Object Lisp machines 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: Lisp machines | Statement: [Lisp Machine Lisp, designedFor, Lisp machines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisp machines
Context triple: [Lisp Machine Lisp, designedFor, Lisp machines]
  • A. Lisp machine chosen
    A Lisp machine is a specialized computer system and architecture designed to efficiently run the Lisp programming language, popular in AI research during the 1970s and 1980s.
  • B. 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.
  • C. 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.
  • D. Lisp Machines, Inc.
    Lisp Machines, Inc. was a pioneering computer company that developed and sold specialized workstations optimized for the Lisp programming language during the 1980s AI boom.
  • E. Symbolics Genera operating system
    Symbolics Genera was an advanced Lisp-based operating system and development environment for Symbolics Lisp machines, known for its highly integrated tools, dynamic object-oriented features, and extensive use in AI research.
  • 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_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.