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
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
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
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
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.