Triple
T21457449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zetalisp |
E529379
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Symbolics |
—
|
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: Symbolics | Statement: [Zetalisp, developedBy, Symbolics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbolics Context triple: [Zetalisp, developedBy, Symbolics]
-
A.
Symbolics
chosen
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.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
C.
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.
-
D.
Symbolyc One
Symbolyc One is an American hip-hop record producer best known for his work with artists like Kanye West, Jay-Z, and Beyoncé.
-
E.
Symbolics 3600-series workstations
Symbolics 3600-series workstations were high-end Lisp machines from the 1980s designed for advanced AI research and symbolic computing.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.