Triple

T16846372
Position Surface form Disambiguated ID Type / Status
Subject And the Ocean Was Our Sky E409548 entity
Predicate illustrator P9707 FINISHED
Object Rovina Cai
Rovina Cai is an award-winning Australian illustrator known for her atmospheric, dreamlike artwork in fantasy and young adult literature.
 E1237240 NE FINISHED

How this triple was built (4 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, illustrator, 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, illustrator, Rovina Cai]
  • A. Raoping
    Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
  • B. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • C. Guisui
    Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
  • D. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • E. Houtong
    Houtong is a small village in New Taipei, Taiwan, best known for its former coal-mining industry and its popular cat-themed tourism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rovina Cai
Triple: [And the Ocean Was Our Sky, illustrator, Rovina Cai]
Generated description
Rovina Cai is an award-winning Australian illustrator known for her atmospheric, dreamlike artwork in fantasy and young adult literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rovina Cai
Target entity description: Rovina Cai is an award-winning Australian illustrator known for her atmospheric, dreamlike artwork in fantasy and young adult literature.
  • A. Raoping
    Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
  • B. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • C. Guisui
    Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
  • D. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • E. Houtong
    Houtong is a small village in New Taipei, Taiwan, best known for its former coal-mining industry and its popular cat-themed tourism.
  • F. None of above. chosen

Provenance (5 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_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc22dc1c81909edc5cdb239f0ea8 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bce879648190acbd5645cd1a4ec8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:24 a.m.