Triple
T22710320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABCL |
E561573
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | Lisp for the Java platform |
—
|
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: Lisp for the Java platform | Statement: [ABCL, category, Lisp for the Java platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisp for the Java platform Context triple: [ABCL, category, Lisp for the Java platform]
-
A.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
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.
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.
-
D.
Lisp (programming language book)
"Lisp" is a classic introductory textbook on the Lisp programming language by Patrick Henry Winston, widely used for teaching symbolic computation and artificial intelligence concepts.
-
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. 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: Lisp for the Java platform Target entity description: Lisp for the Java platform refers to implementations of the Lisp programming language that run on the Java Virtual Machine (JVM), enabling Lisp code to interoperate with Java libraries and infrastructure.
-
A.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
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.
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.
-
D.
Lisp (programming language book)
"Lisp" is a classic introductory textbook on the Lisp programming language by Patrick Henry Winston, widely used for teaching symbolic computation and artificial intelligence concepts.
-
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. 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.