Triple

T17818604
Position Surface form Disambiguated ID Type / Status
Subject Kōyō Ozaki E444911 entity
Predicate givenName P17 FINISHED
Object Kōyō
Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
 E1483081 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: Kōyō | Statement: [Kōyō Ozaki, givenName, Kōyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōyō
Context triple: [Kōyō Ozaki, givenName, Kōyō]
  • 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(nengō) of the Kamakura period, marked by the reign of Emperor Kameyama and used to date years in official records and historical documents.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. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • C. Kakunyo
    Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
  • D. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • E. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • 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: Kōyō
Triple: [Kōyō Ozaki, givenName, Kōyō]
Generated description
Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōyō
Target entity description: Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
  • 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. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • C. Kakunyo
    Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
  • D. Kōkyo
    Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
  • E. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2867edc8190b797bed840245711 completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c32956948190b49eae3dbd7bb731 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3950ff4819092b7e6135badcdf2 completed May 17, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:14 a.m.