Triple
T30640004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 加藤 |
E779947
|
entity |
| Predicate | alternativeKanjiForm |
P177161
|
FINISHED |
| Object |
加籐
加籐 is a less common kanji variant of the Japanese surname 加藤, which is widely used in Japan.
|
E1924516
|
NE FINISHED |
How this triple was built (3 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: 加籐 | Statement: [加藤, alternativeKanjiForm, 加籐]
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: 加籐 Triple: [加藤, alternativeKanjiForm, 加籐]
Generated description
加籐 is a less common kanji variant of the Japanese surname 加藤, which is widely used in Japan.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeKanjiForm Context triple: [加藤, alternativeKanjiForm, 加籐]
-
A.
kanji
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
-
B.
equivalentInJapaneseKanji
Indicates that one entity has the same meaning or value as another entity when written in Japanese Kanji.
-
C.
typicalKanjiSpelling
Indicates that one written form is the standard or most commonly used kanji spelling for another expression (such as a word or phrase).
-
D.
japaneseKunReading
Indicates that a Japanese kanji character has a specific native Japanese (kun) reading associated with it.
-
E.
onYomiJapanese
Indicates that the specified reading is the on’yomi (Sino-Japanese) pronunciation associated with a given kanji or term.
- F. None of above. chosen
Provenance (7 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2863f45fe08190b9444199303a07b9 |
completed | June 9, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_6a28683a08c48190992c65e4ebd02e56 |
completed | June 9, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2868fa5d1c81909ec9422f7d152a75 |
completed | June 9, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 29, 2026, 8:29 p.m.