Triple
T9532840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data General |
E229936
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Data General One |
E229936
|
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: Data General One | Statement: [Data General, notableProduct, Data General One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Data General One Context triple: [Data General, notableProduct, Data General One]
-
A.
Data General
chosen
Data General was an American minicomputer manufacturer known for its Eclipse and Nova systems and as a key rival to companies like Digital Equipment Corporation during the 1970s and 1980s.
-
B.
Libera Chat
Libera Chat is a prominent free and open-source–focused IRC network that hosts real-time discussion channels for numerous software projects and online communities.
-
C.
Data Ganj Bakhsh
Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
-
D.
General
A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
-
E.
Genera
Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4033c08190a71535b63d86f4df |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8 p.m.