Triple
T6009893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Lisp |
E133804
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object |
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.
|
E561569
|
NE FINISHED |
How this triple was built (4 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: Allegro CL | Statement: [Common Lisp, hasImplementation, Allegro CL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allegro CL Context triple: [Common Lisp, hasImplementation, Allegro CL]
-
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.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Franz Lisp
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
D.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
-
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.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allegro CL Triple: [Common Lisp, hasImplementation, Allegro CL]
Generated description
Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allegro CL Target entity description: Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
-
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.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Franz Lisp
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
D.
VisualWorks
VisualWorks is a prominent commercial implementation of the Smalltalk programming language, known for its powerful development environment and cross-platform capabilities.
-
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 (5 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1089bd870819096c0f6c7cf484c50 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10b0c23d48190a9e683858c29449d |
completed | March 23, 2026, 9:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10bb3dd6481909d61d2cda5150ea7 |
completed | March 23, 2026, 9:45 a.m. |
Created at: March 22, 2026, 4:06 p.m.