Triple

T16929556
Position Surface form Disambiguated ID Type / Status
Subject Katsura Kogorō E410666 entity
Predicate honorificTitle P2097 FINISHED
Object Kōin
Kōin is an honorific title bestowed upon Katsura Kogorō, a key samurai and statesman of Japan’s Meiji Restoration.
E1258172 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: Kōin | Statement: [Katsura Kogorō, honorificTitle, Kōin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kōin
Context triple: [Katsura Kogorō, honorificTitle, Kōin]
  • A. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • B. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • C. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • D. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • E. Kōonji
    Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
  • 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: Kōin
Triple: [Katsura Kogorō, honorificTitle, Kōin]
Generated description
Kōin is an honorific title bestowed upon Katsura Kogorō, a key samurai and statesman of Japan’s Meiji Restoration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kōin
Target entity description: Kōin is an honorific title bestowed upon Katsura Kogorō, a key samurai and statesman of Japan’s Meiji Restoration.
  • A. Kōchō
    Kōchō was a Japanese era (nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.
  • B. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • C. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • D. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • E. Kōonji
    Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673ba0e08190a988847fa7ad8e50 completed May 11, 2026, 5:20 a.m.
NEDg Description generation batch_6a016c240f7c8190a564b07ada96c88f completed May 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a016c6e27a081908271c56073fd374b completed May 11, 2026, 5:43 a.m.
Created at: April 10, 2026, 5:30 a.m.