Triple
T9073418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEM desktop |
E217423
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Digital Research |
E189529
|
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: Digital Research | Statement: [GEM desktop, developer, Digital Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digital Research Context triple: [GEM desktop, developer, Digital Research]
-
A.
Digital Research
chosen
Digital Research was a pioneering software company best known for creating early microcomputer operating systems such as CP/M and its 16-bit variants.
-
B.
Digital Research Services
Digital Research Services is a unit within the University Libraries at UNC-Chapel Hill that supports scholars in using digital tools, data, and methods for research and scholarship.
-
C.
Digital Science
Digital Science is a technology company that provides research analytics, data, and software tools to support and improve the scholarly research ecosystem.
-
D.
Digital Research, Inc.
Digital Research, Inc. was a pioneering software company best known for creating the CP/M family of operating systems, which were widely used on early microcomputers before the rise of MS-DOS.
-
E.
Web Science Research Initiative
The Web Science Research Initiative is an academic and interdisciplinary organization dedicated to studying the social, technical, and scientific aspects of the World Wide Web.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc956111dc8190a25cefe68fd6a949 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054413cd881908bd4aca6a69ef663 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:12 p.m.