Triple
T15997751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotoku Sato |
E388015
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kotoku
Kotoku is a Japanese given name that has been borne by various notable individuals in Japan.
|
E1188380
|
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: Kotoku | Statement: [Kotoku Sato, givenName, Kotoku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotoku Context triple: [Kotoku Sato, givenName, Kotoku]
-
A.
Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
-
B.
Tenkasi
Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
-
C.
Sutoku
Sutoku was a 12th-century Japanese emperor whose abdication and later role in the Hōgen Rebellion made him a legendary figure associated with political turmoil and vengeful spirit lore.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
- 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: Kotoku Triple: [Kotoku Sato, givenName, Kotoku]
Generated description
Kotoku is a Japanese given name that has been borne by various notable individuals in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotoku Target entity description: Kotoku is a Japanese given name that has been borne by various notable individuals in Japan.
-
A.
Tsurumatsu
Tsurumatsu was the short-lived son and heir of Japanese warlord Toyotomi Hideyoshi during the late Sengoku period.
-
B.
Tenkasi
Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
-
C.
Sutoku
Sutoku was a 12th-century Japanese emperor whose abdication and later role in the Hōgen Rebellion made him a legendary figure associated with political turmoil and vengeful spirit lore.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc50688ac8190b0911ce889254af3 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 4:55 a.m.