Triple
T19771898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMU Common Lisp |
E474906
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CMUCL |
—
|
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: CMUCL | Statement: [CMU Common Lisp, shortName, CMUCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMUCL Context triple: [CMU Common Lisp, shortName, CMUCL]
-
A.
CMU Common Lisp
chosen
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.
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.
CCLM
CCLM is the abbreviated name for the Committee on Constitutional and Legal Matters, a body that reviews and advises on legal and constitutional issues within its parent organization.
-
D.
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.
-
E.
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.
- 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.