Triple
T3782882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsushika Hokusai |
E85460
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tokitarō
Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
|
E388107
|
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: Tokitarō | Statement: [Katsushika Hokusai, givenName, Tokitarō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokitarō Context triple: [Katsushika Hokusai, givenName, Tokitarō]
-
A.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Akio
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
D.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
E.
Katsuya
Katsuya is a Japanese given name commonly used for males.
- 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: Tokitarō Triple: [Katsushika Hokusai, givenName, Tokitarō]
Generated description
Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tokitarō Target entity description: Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
-
A.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Akio
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
D.
Shuji
Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
-
E.
Katsuya
Katsuya is a Japanese given name commonly used for males.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3db11108190aa81ee8ed22709fe |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1730bbc8190a2f5f70ebc5a528a |
completed | March 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f2538eac81908a6c85ddab4e2356 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.