Triple
T22710186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LispWorks |
E561570
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | LispWorks for Education |
—
|
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: LispWorks for Education | Statement: [LispWorks, hasEdition, LispWorks for Education]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LispWorks for Education Context triple: [LispWorks, hasEdition, LispWorks for Education]
-
A.
LispWorks
chosen
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.
-
B.
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.
-
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.
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.
Interlisp
Interlisp was an early, influential dialect and programming environment of the Lisp language, notable for its integrated development tools and impact on later Lisp systems.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d1e24881909ebd4531c0daef7f |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.