Triple

T16124918
Position Surface form Disambiguated ID Type / Status
Subject Takahira Kogorō E391243 entity
Predicate givenName P17 FINISHED
Object Kogorō
Kogorō is a Japanese masculine given name commonly used in literature, film, and anime for male characters.
 E1362084 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: Kogorō | Statement: [Takahira Kogorō, givenName, Kogorō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kogorō
Context triple: [Takahira Kogorō, givenName, Kogorō]
  • A. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • B. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Kuroshima
    Kuroshima is a small, uninhabited Japanese island that forms part of the remote Mukojima subgroup in the Ogasawara (Bonin) Islands chain.
  • E. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • 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: Kogorō
Triple: [Takahira Kogorō, givenName, Kogorō]
Generated description
Kogorō is a Japanese masculine given name commonly used in literature, film, and anime for male characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kogorō
Target entity description: Kogorō is a Japanese masculine given name commonly used in literature, film, and anime for male characters.
  • A. Kanamachi
    Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
  • B. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Kuroshima
    Kuroshima is a small, uninhabited Japanese island that forms part of the remote Mukojima subgroup in the Ogasawara (Bonin) Islands chain.
  • E. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f89123f0819086f3aeef4c309f63 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f9666b2081908c02f7e0d63345d1 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9efad4c81908415dc4b56a38ddc completed May 15, 2026, 10:48 a.m.
Created at: April 10, 2026, 5 a.m.