Triple
T14729847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sunset Sea |
E346040
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Shivering Sea |
E349990
|
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: Shivering Sea | Statement: [The Sunset Sea, contrastedWith, Shivering Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shivering Sea Context triple: [The Sunset Sea, contrastedWith, Shivering Sea]
-
A.
Shivering Sea
chosen
The Shivering Sea is a frigid, northern ocean in the world of *A Song of Ice and Fire* that lies beyond the eastern and northern coasts of Westeros and Essos.
-
B.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
C.
Ocean of Storms
Ocean of Storms is a vast lunar mare on the Moon’s near side, notable as the landing region of several Apollo missions and characterized by its dark basaltic plains.
-
D.
Sea of Ice
Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
-
E.
Sea of Ice
Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:29 a.m.