Triple
T6800260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomonori Kanemoto |
E156164
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Kanemoto
Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
|
E688483
|
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: Kanemoto | Statement: [Tomonori Kanemoto, hasFamilyName, Kanemoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanemoto Context triple: [Tomonori Kanemoto, hasFamilyName, Kanemoto]
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
C.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
D.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
E.
Nōgata
Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
- 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: Kanemoto Triple: [Tomonori Kanemoto, hasFamilyName, Kanemoto]
Generated description
Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanemoto Target entity description: Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
C.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
D.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
E.
Nōgata
Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e457408190a0ad9b0c48d8147c |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de8efd648190b70b4299ecae32c7 |
completed | March 29, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_69c8deee7b8881909d5012e08c758762 |
completed | March 29, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8dfa7eb9881909e595389bec8436e |
completed | March 29, 2026, 8:15 a.m. |
Created at: March 27, 2026, 2:15 p.m.