Triple

T21457475
Position Surface form Disambiguated ID Type / Status
Subject Zetalisp E529379 entity
Predicate platform P1292 FINISHED
Object Symbolics 3650 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: Symbolics 3650 | Statement: [Zetalisp, platform, Symbolics 3650]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symbolics 3650
Context triple: [Zetalisp, platform, Symbolics 3650]
  • A. Symbolics 3600-series workstations chosen
    Symbolics 3600-series workstations were high-end Lisp machines from the 1980s designed for advanced AI research and symbolic computing.
  • B. Symbolics
    Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
  • C. 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.
  • D. Symbolics Zmacs
    Symbolics Zmacs is an advanced text editor for the Symbolics Lisp Machine environment, derived from the Emacs family and tailored for Lisp development.
  • E. Lisp machine
    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.
  • 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.