Triple
T21457451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zetalisp |
E529379
|
entity |
| Predicate | designedFor |
P98
|
FINISHED |
| Object | Symbolics 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: Symbolics Lisp machines | Statement: [Zetalisp, designedFor, Symbolics Lisp machines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbolics Lisp machines Context triple: [Zetalisp, designedFor, Symbolics Lisp machines]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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.