Triple
T21457482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zetalisp |
E529379
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Symbolics Genera operating system |
—
|
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: Symbolics Genera operating system | Statement: [Zetalisp, usedIn, Symbolics Genera operating system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbolics Genera operating system Context triple: [Zetalisp, usedIn, Symbolics Genera operating system]
-
A.
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.
-
B.
Symbolics Common Lisp implementation
The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
-
C.
Symbolics 3600-series workstations
Symbolics 3600-series workstations were high-end Lisp machines from the 1980s designed for advanced AI research and symbolic computing.
-
D.
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.
-
E.
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.
- 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: Symbolics Genera operating system Target entity description: 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.
-
A.
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.
-
B.
Symbolics Common Lisp implementation
The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
-
C.
Symbolics 3600-series workstations
Symbolics 3600-series workstations were high-end Lisp machines from the 1980s designed for advanced AI research and symbolic computing.
-
D.
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.
-
E.
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.
- 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.