Triple
T35446983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東洋のルソー |
E1024513
|
entity |
| Predicate | labelInRomaji |
P143799
|
FINISHED |
| Object |
Tōyō no Rusō
Tōyō no Rusō is a Japanese epithet meaning “Rousseau of the East,” used to liken a thinker or writer to the French philosopher Jean-Jacques Rousseau in an East Asian context.
|
E2141476
|
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: Tōyō no Rusō | Statement: [東洋のルソー, labelInRomaji, Tōyō no Rusō]
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: Tōyō no Rusō Triple: [東洋のルソー, labelInRomaji, Tōyō no Rusō]
Generated description
Tōyō no Rusō is a Japanese epithet meaning “Rousseau of the East,” used to liken a thinker or writer to the French philosopher Jean-Jacques Rousseau in an East Asian context.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelInRomaji Context triple: [東洋のルソー, labelInRomaji, Tōyō no Rusō]
-
A.
nameInLanguageRomanization
Indicates that an entity’s name is represented in the romanized (Latin-script) form of a particular language.
-
B.
officialNameInRomaji
Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
-
C.
exampleRomanization
Indicates that one entity is a romanized representation (in Latin script) of the other entity’s original text or name.
-
D.
JapaneseNameReading
chosen
Indicates that one entity is the reading or pronunciation (e.g., in kana or romaji) of a Japanese name represented by the other entity.
-
E.
romanizationType
Indicates the specific system or method used to convert text from one writing system into its Roman (Latin) alphabet representation.
- 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_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 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_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.