Triple
T35446973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東洋のルソー |
E1024513
|
entity |
| Predicate | refersToPersonMainWork |
P112749
|
FINISHED |
| Object |
『三酔人経綸問答』
『三酔人経綸問答』は、「東洋のルソー」と称された中江兆民が著した、近代日本の国家構想や政治理念を三人の酔客の対話形式で論じた政治思想書である。
|
E2141473
|
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: 『三酔人経綸問答』 | Statement: [東洋のルソー, refersToPersonMainWork, 『三酔人経綸問答』]
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: 『三酔人経綸問答』 Triple: [東洋のルソー, refersToPersonMainWork, 『三酔人経綸問答』]
Generated description
『三酔人経綸問答』は、「東洋のルソー」と称された中江兆民が著した、近代日本の国家構想や政治理念を三人の酔客の対話形式で論じた政治思想書である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPersonMainWork Context triple: [東洋のルソー, refersToPersonMainWork, 『三酔人経綸問答』]
-
A.
relatedWorkOfPerson
chosen
Indicates that a work (such as a publication, project, or creation) is associated with or produced by a particular person.
-
B.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
C.
authorNotableWork
Indicates that a person is the creator or writer of a specific notable work, such as a book, article, or other significant publication.
-
D.
notableWorkSubject
Indicates that a work is notably associated with a particular subject, such as a person, topic, or entity, as its primary focus or theme.
-
E.
refersToPersonKnownFor
Indicates that one entity makes reference to a person who is notable or recognized for some specific role, achievement, or characteristic.
- F. None of above.
Provenance (6 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836c84d00819096d306dd6e45b39e |
completed | June 21, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a38395a6ae4819086e3d03fecf908f7 |
completed | June 21, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3839cad16c8190840ed5fc8d72f6b6 |
completed | June 21, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:04 p.m.