Triple
T6267140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Miller |
E140440
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hoki Tokuda
Hoki Tokuda was a Japanese-born jazz singer and artist best known as the much younger third wife of American writer Henry Miller.
|
E581188
|
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: Hoki Tokuda | Statement: [Henry Miller, spouse, Hoki Tokuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoki Tokuda Context triple: [Henry Miller, spouse, Hoki Tokuda]
-
A.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
B.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
C.
Munetaka
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Taro Kono
Taro Kono is a prominent Japanese politician and Liberal Democratic Party member known for serving in key cabinet posts such as foreign minister and defense minister and for his reformist, media-savvy profile.
- 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: Hoki Tokuda Triple: [Henry Miller, spouse, Hoki Tokuda]
Generated description
Hoki Tokuda was a Japanese-born jazz singer and artist best known as the much younger third wife of American writer Henry Miller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoki Tokuda Target entity description: Hoki Tokuda was a Japanese-born jazz singer and artist best known as the much younger third wife of American writer Henry Miller.
-
A.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
B.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
C.
Munetaka
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
-
D.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
E.
Taro Kono
Taro Kono is a prominent Japanese politician and Liberal Democratic Party member known for serving in key cabinet posts such as foreign minister and defense minister and for his reformist, media-savvy profile.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a0f2548190a2f5c307bc5a67cf |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51939cc6081909e491bd16fab595b |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51c246b9c8190b22bc1afedd1956c |
completed | March 26, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51c9cc3488190abc90abe9ae2050b |
completed | March 26, 2026, 11:46 a.m. |
Created at: March 22, 2026, 4:25 p.m.