Triple
T14679234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inukai Tsuyoshi |
E344732
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tsuyoshi
Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
|
E1180103
|
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: Tsuyoshi | Statement: [Inukai Tsuyoshi, givenName, Tsuyoshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsuyoshi Context triple: [Inukai Tsuyoshi, givenName, Tsuyoshi]
-
A.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
-
B.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
C.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
D.
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
-
E.
Takeharu
Takeharu 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: Tsuyoshi Triple: [Inukai Tsuyoshi, givenName, Tsuyoshi]
Generated description
Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsuyoshi Target entity description: Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
-
A.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
-
B.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
C.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
D.
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
-
E.
Takeharu
Takeharu 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 1:27 a.m.