Triple
T7885517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desire2Learn |
E183092
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | John Baker |
E702198
|
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: John Baker | Statement: [Desire2Learn, founder, John Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Baker Context triple: [Desire2Learn, founder, John Baker]
-
A.
John Baker
John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
-
B.
John Baker
chosen
John Baker is a Canadian entrepreneur best known as the founder and longtime leader of Desire2Learn (D2L), a major provider of learning management systems and educational technology.
-
C.
John Baker
John Baker was a British engineer best known for helping design the Morrison shelter, an indoor air-raid shelter used in the UK during World War II.
-
D.
William Baker
William Baker was a 19th-century British civil engineer noted for designing major railway structures, including prominent bridges for the expanding Victorian rail network.
-
E.
George Baker
George Baker is a name shared by several notable individuals, including actors, musicians, and public figures across different English-speaking countries.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d62a148190bed4e0d199aa427b |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63a38e8081908c72d0b52efa1792 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 4:59 p.m.