Triple
T16846406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And the Ocean Was Our Sky |
E409548
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object | Rovina Cai |
E1237240
|
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: Rovina Cai | Statement: [And the Ocean Was Our Sky, coverArtist, Rovina Cai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovina Cai Context triple: [And the Ocean Was Our Sky, coverArtist, Rovina Cai]
-
A.
Rovina Cai
chosen
Rovina Cai is an award-winning Australian illustrator known for her atmospheric, dreamlike artwork in fantasy and young adult literature.
-
B.
Raoping
Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
-
C.
Daliang
Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
-
D.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
-
E.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.