Triple
T18812064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Bellas Greenough |
E460038
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Greenough |
E100970
|
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: Greenough | Statement: [George Bellas Greenough, familyName, Greenough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenough Context triple: [George Bellas Greenough, familyName, Greenough]
-
A.
Greenough
chosen
Greenough is an English surname most notably associated with George Bellas Greenough, a pioneering 19th-century geologist and founding figure of the Geological Society of London.
-
B.
Hayez
Hayez is the surname of Francesco Hayez, a prominent 19th-century Italian Romantic painter known for his historical and allegorical works.
-
C.
Belle Ewart
Belle Ewart is a small lakeside community on the western shore of Lake Simcoe in Ontario, Canada.
-
D.
Beazley
Beazley is an English-language surname most prominently associated with Australian politician Kim Beazley and his family.
-
E.
Gormley
Gormley is a small rural community in Ontario, Canada, known for its historic character and location near the Greater Toronto Area.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc3e9288190aae8377b0916c6f3 |
completed | May 14, 2026, 5:21 a.m. |
Created at: April 10, 2026, 11:53 a.m.