Triple
T3265510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyoko Fuchida |
E68516
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fuchida
Fuchida is a Japanese surname borne by various individuals, including figures in fields such as aviation, sports, and the arts.
|
E341759
|
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: Fuchida | Statement: [Miyoko Fuchida, familyName, Fuchida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchida Context triple: [Miyoko Fuchida, familyName, Fuchida]
-
A.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
B.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
C.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
E.
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
- 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: Fuchida Triple: [Miyoko Fuchida, familyName, Fuchida]
Generated description
Fuchida is a Japanese surname borne by various individuals, including figures in fields such as aviation, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuchida Target entity description: Fuchida is a Japanese surname borne by various individuals, including figures in fields such as aviation, sports, and the arts.
-
A.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
B.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
C.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
E.
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcc99908190897230b4b71e2ea8 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eed68c08190994376bfbfeae949 |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b2900805d08190afbda5ee5e984b71 |
completed | March 12, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ac4c52d48190a87b1e535c2e8a37 |
completed | March 12, 2026, 12:06 p.m. |
Created at: March 8, 2026, 3:09 p.m.