Triple
T2066325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Digital |
E45908
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | General Digital |
E45908
|
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: General Digital | Statement: [General Digital, foundedAs, General Digital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Digital Context triple: [General Digital, foundedAs, General Digital]
-
A.
General Digital
chosen
General Digital was the original name of Western Digital, a major American data storage and hard drive manufacturer.
-
B.
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.
-
C.
Data General
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.
-
D.
General Convention
The General Convention is the primary legislative and decision-making body of the Episcopal Church, composed of representatives from its dioceses who meet to set policy, doctrine, and mission priorities.
-
E.
Digital Domain
Digital Domain is a renowned visual effects and digital production company recognized for its groundbreaking work on numerous major Hollywood films.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f0cb888190a97884f5a722d91f |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2722b5048190a78978a64167cda2 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.