Triple
T19771921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMU Common Lisp |
E474906
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | SBCL |
—
|
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: SBCL | Statement: [CMU Common Lisp, influenced, SBCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBCL Context triple: [CMU Common Lisp, influenced, SBCL]
-
A.
SBCL
chosen
SBCL (Steel Bank Common Lisp) is a high-performance, open-source implementation of the Common Lisp programming language known for its native code compilation, robustness, and strong debugging and introspection tools.
-
B.
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.
-
C.
CLISP
CLISP is a portable, open-source implementation of the Common Lisp programming language featuring an interpreter, compiler, and extensive standard library support.
-
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.
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.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.