Triple
T22710290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABCL |
E561573
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Armed Bear Common Lisp |
—
|
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: Armed Bear Common Lisp | Statement: [ABCL, fullName, Armed Bear Common Lisp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armed Bear Common Lisp Context triple: [ABCL, fullName, Armed Bear Common Lisp]
-
A.
CMU Common Lisp
CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
-
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.
Clozure CL
Clozure CL is a modern, open-source implementation of the Common Lisp programming language known for its performance, native code compilation, and good integration with macOS and other Unix-like systems.
-
D.
Allegro CL
Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
-
E.
LispWorks
LispWorks is a commercial, cross-platform integrated development environment and compiler for the Common Lisp programming language, offering advanced tools for application development and deployment.
- 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: Armed Bear Common Lisp Target entity description: Armed Bear Common Lisp is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine and integrates closely with Java.
-
A.
CMU Common Lisp
CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
-
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.
Clozure CL
Clozure CL is a modern, open-source implementation of the Common Lisp programming language known for its performance, native code compilation, and good integration with macOS and other Unix-like systems.
-
D.
Allegro CL
Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
-
E.
LispWorks
LispWorks is a commercial, cross-platform integrated development environment and compiler for the Common Lisp programming language, offering advanced tools for application development and deployment.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:17 p.m.