Triple
T3289838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essos |
E69073
|
entity |
| Predicate | hasSea |
P1182
|
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: [Essos, hasSea, Shivering Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shivering Sea Context triple: [Essos, hasSea, 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.
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.
-
C.
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.
-
D.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
-
E.
The Toll of the Sea
The Toll of the Sea is a 1922 silent drama film, one of the earliest Hollywood movies shot in Technicolor, featuring Anna May Wong in her first leading role.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05bd6b08190bcb9f0e5da82bc21 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33419707881908535eadd65500bee |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:10 p.m.