Triple
T13483243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichijō Tadaka |
E318426
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tadaka
Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
|
E1288904
|
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: Tadaka | Statement: [Ichijō Tadaka, givenName, Tadaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadaka Context triple: [Ichijō Tadaka, givenName, Tadaka]
-
A.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
-
B.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Takasago
Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
-
E.
Ogimachi
Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
- 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: Tadaka Triple: [Ichijō Tadaka, givenName, Tadaka]
Generated description
Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tadaka Target entity description: Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
-
A.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
-
B.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
C.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
D.
Takasago
Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
-
E.
Ogimachi
Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff42e7c08190806b4bacfaa4dbf2 |
completed | May 12, 2026, 10:21 a.m. |
| NEDg | Description generation | batch_6a03001b0368819084136d1f88d8a01a |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300cea244819080acab78691afd16 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 9, 2026, 9:42 p.m.