Triple

T9001916
Position Surface form Disambiguated ID Type / Status
Subject Oreshura E215056 entity
Predicate illustrator P9707 FINISHED
Object Ruroo
Ruroo is a Japanese illustrator best known for providing the character artwork for the light novel series "Oreshura."
 E771953 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: Ruroo | Statement: [Oreshura, illustrator, Ruroo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruroo
Context triple: [Oreshura, illustrator, Ruroo]
  • A. Rurui
    Rurui is a stratovolcano located on Kunashir Island in the Kuril Islands chain of Russia.
  • B. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • C. Samaru
    Samaru is a prominent university town and research hub near Zaria in Kaduna State, Nigeria, best known for hosting the main campus of Ahmadu Bello University.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Kushi Inada Hime
    Kushi Inada Hime is a goddess from Japanese mythology, best known as the wife of the storm god Susanoo and the rescued maiden in the Yamata no Orochi legend.
  • 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: Ruroo
Triple: [Oreshura, illustrator, Ruroo]
Generated description
Ruroo is a Japanese illustrator best known for providing the character artwork for the light novel series "Oreshura."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruroo
Target entity description: Ruroo is a Japanese illustrator best known for providing the character artwork for the light novel series "Oreshura."
  • A. Rurui
    Rurui is a stratovolcano located on Kunashir Island in the Kuril Islands chain of Russia.
  • B. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • C. Samaru
    Samaru is a prominent university town and research hub near Zaria in Kaduna State, Nigeria, best known for hosting the main campus of Ahmadu Bello University.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Kushi Inada Hime
    Kushi Inada Hime is a goddess from Japanese mythology, best known as the wife of the storm god Susanoo and the rescued maiden in the Yamata no Orochi legend.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ddb1648190a50f8877218d9883 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd1b4a80c8190be50b67698f56c28 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2c99f1c8190b82fd98f5d3243d3 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:05 p.m.