Triple
T8118025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Research |
E189529
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | GEM Desktop |
E217422
|
NE FINISHED |
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: GEM Desktop | Statement: [Digital Research, notableWork, GEM Desktop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEM Desktop Context triple: [Digital Research, notableWork, GEM Desktop]
-
A.
GEM desktop
GEM desktop is the graphical user interface environment used on Atari ST computers, providing icon-based file management and windowed multitasking.
-
B.
GEM (Graphics Environment Manager)
chosen
GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for providing the windowed GUI on Atari ST computers.
-
C.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
D.
Gemini 2.0
Gemini 2.0 is a major updated release of Google’s multimodal AI model family, designed to provide more powerful and versatile capabilities across text, code, image, and other modalities.
-
E.
GEML
GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb435737c08190a4e311d4d990b4ef |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944439488190b95788e3a77ee732 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.