Triple

T18584574
Position Surface form Disambiguated ID Type / Status
Subject Inuyasha E454202 entity
Predicate publisher P29 FINISHED
Object Shogakukan
Shogakukan is a major Japanese publishing company best known for producing popular manga, educational materials, and magazines.
 E1332388 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: Shogakukan | Statement: [Inuyasha, publisher, Shogakukan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shogakukan
Context triple: [Inuyasha, publisher, Shogakukan]
  • A. Tokyo Shokonsha
    Tokyo Shokonsha was the original name of what is now Yasukuni Shrine, a Shinto shrine in Tokyo dedicated to commemorating Japan’s war dead.
  • B. Tokuma Shoten
    Tokuma Shoten is a major Japanese publishing company known for books, magazines, and its historical involvement in anime and media production.
  • C. Kodansha
    Kodansha is a major Japanese publishing company best known for producing and distributing popular manga, novels, and magazines worldwide.
  • D. Bunko-dō publishing house
    Bunko-dō publishing house was a Japanese publisher known for its association with prominent literary figures such as poet Yosano Akiko.
  • E. Meirokusha
    Meirokusha was an influential Meiji-era Japanese intellectual society and journal circle that promoted Western learning, modernization, and political and social reform.
  • 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: Shogakukan
Triple: [Inuyasha, publisher, Shogakukan]
Generated description
Shogakukan is a major Japanese publishing company best known for producing popular manga, educational materials, and magazines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shogakukan
Target entity description: Shogakukan is a major Japanese publishing company best known for producing popular manga, educational materials, and magazines.
  • A. Tokyo Shokonsha
    Tokyo Shokonsha was the original name of what is now Yasukuni Shrine, a Shinto shrine in Tokyo dedicated to commemorating Japan’s war dead.
  • B. Tokuma Shoten
    Tokuma Shoten is a major Japanese publishing company known for books, magazines, and its historical involvement in anime and media production.
  • C. Kodansha
    Kodansha is a major Japanese publishing company best known for producing and distributing popular manga, novels, and magazines worldwide.
  • D. Bunko-dō publishing house
    Bunko-dō publishing house was a Japanese publisher known for its association with prominent literary figures such as poet Yosano Akiko.
  • E. Meirokusha
    Meirokusha was an influential Meiji-era Japanese intellectual society and journal circle that promoted Western learning, modernization, and political and social reform.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b0dff08190a3be481faec34a3c completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f89193788190bd7334f80c23d0df completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04fe50f2c88190bba68d4c0025d0ef completed May 13, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a04ff3cef0481909eef191716f4c74d completed May 13, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:44 a.m.