Triple
T22770867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Mason |
E563550
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | The English Garden |
—
|
NE NERFINISHED |
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: The English Garden | Statement: [William Mason, wrote, The English Garden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The English Garden Context triple: [William Mason, wrote, The English Garden]
-
A.
The English Garden
chosen
The English Garden is an 18th-century didactic poem by William Mason that celebrates and instructs on the principles of naturalistic landscape gardening.
-
B.
Luxembourg Gardens
Luxembourg Gardens is a famous public park in Paris known for its formal lawns, statues, fountains, and the Luxembourg Palace.
-
C.
Eram Garden
Eram Garden is a historic Persian garden in Shiraz, Iran, renowned for its classical landscaping, cypress trees, and Qajar-era mansion.
-
D.
Isabel II Garden
Isabel II Garden is a historic landscaped garden within the Royal Palace of Aranjuez complex in Spain, known for its ornamental design, fountains, and tree-lined walks.
-
E.
Belvedere Garden
Belvedere Garden is a large private residential housing estate located in Tsuen Wan, Hong Kong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5e77d081909ea58d55c240662c |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.