Triple

T9092889
Position Surface form Disambiguated ID Type / Status
Subject Katsuya E217933 entity
Predicate canBeWrittenAs P12679 FINISHED
Object 克哉
克哉 is a masculine Japanese given name typically written with kanji conveying meanings related to "overcoming" or "achievement" and "harmony."
E777778 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: 克哉 | Statement: [Katsuya, canBeWrittenAs, 克哉]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 克哉
Context triple: [Katsuya, canBeWrittenAs, 克哉]
  • A. 神大
    神大 is the common abbreviation for Kobe University, a national research university located in Kobe, Japan.
  • B.
    艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
  • C.
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • D. Kuaiji
    Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
  • E. Dazhao
    Dazhao is the given name of Li Dazhao, a pioneering Chinese Marxist intellectual and co-founder of the Chinese Communist Party.
  • 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: 克哉
Triple: [Katsuya, canBeWrittenAs, 克哉]
Generated description
克哉 is a masculine Japanese given name typically written with kanji conveying meanings related to "overcoming" or "achievement" and "harmony."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 克哉
Target entity description: 克哉 is a masculine Japanese given name typically written with kanji conveying meanings related to "overcoming" or "achievement" and "harmony."
  • A. 神大
    神大 is the common abbreviation for Kobe University, a national research university located in Kobe, Japan.
  • B.
    艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
  • C.
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • D. Kuaiji
    Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
  • E. Dazhao
    Dazhao is the given name of Li Dazhao, a pioneering Chinese Marxist intellectual and co-founder of the Chinese Communist Party.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b347d4819085b33d0e20834f47 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017f85c908190a4e90c22a75348b5 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:14 p.m.