Triple
T1678911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca (1940 film) |
E36293
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Cornwall |
E112827
|
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: Cornwall | Statement: [Rebecca (1940 film), setting, Cornwall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornwall Context triple: [Rebecca (1940 film), setting, Cornwall]
-
A.
Cornwall
chosen
Cornwall is a county in the far southwest of England, known for its rugged coastline, Celtic heritage, and popular seaside tourism.
-
B.
Cornwall
Cornwall is a small town in central Prince Edward Island, Canada, located just west of the provincial capital, Charlottetown.
-
C.
Devon
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
-
D.
Torbay
Torbay is a coastal unitary authority and popular seaside resort area in Devon, England, encompassing the towns of Torquay, Paignton, and Brixham.
-
E.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625f7e1081909c3c4fe76625783a |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d7ab1a88190b7a5baabf4742fdd |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:29 p.m.