Triple
T11026753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukio |
E260643
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Yukio Seki
Yukio Seki was a Japanese naval aviator in World War II, known for leading one of the first organized kamikaze attacks during the Battle of Leyte Gulf.
|
E1215773
|
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: Yukio Seki | Statement: [Yukio, hasNotableBearer, Yukio Seki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yukio Seki Context triple: [Yukio, hasNotableBearer, Yukio Seki]
-
A.
Yukio Aoshima
Yukio Aoshima was a Japanese television writer, comedian, and politician who served as governor of Tokyo in the 1990s.
-
B.
Yukio Yamada
Yukio Yamada is a Japanese individual notable enough to be specifically distinguished among people sharing the given name Yukio.
-
C.
Yukio Tsuda
Yukio Tsuda is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Yukio.
-
D.
Yukio Kashio
Yukio Kashio was a Japanese engineer and entrepreneur best known as one of the founding figures behind the company that evolved into the Casio electronics brand.
-
E.
Yukio Yashiro
Yukio Yashiro was a prominent Japanese art historian and critic best known for his pioneering scholarship on Renaissance art, particularly the work of Sandro Botticelli.
- 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: Yukio Seki Triple: [Yukio, hasNotableBearer, Yukio Seki]
Generated description
Yukio Seki was a Japanese naval aviator in World War II, known for leading one of the first organized kamikaze attacks during the Battle of Leyte Gulf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yukio Seki Target entity description: Yukio Seki was a Japanese naval aviator in World War II, known for leading one of the first organized kamikaze attacks during the Battle of Leyte Gulf.
-
A.
Yukio Aoshima
Yukio Aoshima was a Japanese television writer, comedian, and politician who served as governor of Tokyo in the 1990s.
-
B.
Yukio Yamada
Yukio Yamada is a Japanese individual notable enough to be specifically distinguished among people sharing the given name Yukio.
-
C.
Yukio Tsuda
Yukio Tsuda is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Yukio.
-
D.
Yukio Kashio
Yukio Kashio was a Japanese engineer and entrepreneur best known as one of the founding figures behind the company that evolved into the Casio electronics brand.
-
E.
Yukio Yashiro
Yukio Yashiro was a prominent Japanese art historian and critic best known for his pioneering scholarship on Renaissance art, particularly the work of Sandro Botticelli.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d190f08190bcb5949ee24306f1 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00509164cc8190a381ba0a1de95ed1 |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005447f1948190a939c0051891e444 |
completed | May 10, 2026, 9:47 a.m. |
Created at: April 8, 2026, 9:25 p.m.