Triple
T21727049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP-10 |
E536299
|
entity |
| Predicate | notableSoftware |
P42421
|
FINISHED |
| Object | MACSYMA |
—
|
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: MACSYMA | Statement: [PDP-10, notableSoftware, MACSYMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MACSYMA Context triple: [PDP-10, notableSoftware, MACSYMA]
-
A.
Symbolics
Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
-
B.
CAS (Computer Algebra System)
chosen
CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
-
C.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
Symbolics Zmacs
Symbolics Zmacs is an advanced text editor for the Symbolics Lisp Machine environment, derived from the Emacs family and tailored for Lisp development.
-
E.
Symbolics Genera operating system
Symbolics Genera was an advanced Lisp-based operating system and development environment for Symbolics Lisp machines, known for its highly integrated tools, dynamic object-oriented features, and extensive use in AI research.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.