Triple
T3107528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itō Sukeyuki |
E64868
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
伊東 祐亨
伊東祐亨は、日清戦争期に連合艦隊司令長官を務めた日本海軍の軍人・元帥である。
|
E326896
|
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: 伊東 祐亨 | Statement: [Itō Sukeyuki, nativeName, 伊東 祐亨]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 伊東 祐亨 Context triple: [Itō Sukeyuki, nativeName, 伊東 祐亨]
-
A.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
B.
Kosuke Imai
Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
-
C.
Hayato Ikeda
Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
-
D.
古賀峯一
古賀峯一は、太平洋戦争中に連合艦隊司令長官を務めた日本海軍の軍人である。
-
E.
Joji Watanuki
Joji Watanuki is a political scientist known for his collaborative work with Samuel P. Huntington on comparative politics and political development.
- 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: 伊東 祐亨 Triple: [Itō Sukeyuki, nativeName, 伊東 祐亨]
Generated description
伊東祐亨は、日清戦争期に連合艦隊司令長官を務めた日本海軍の軍人・元帥である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 伊東 祐亨 Target entity description: 伊東祐亨は、日清戦争期に連合艦隊司令長官を務めた日本海軍の軍人・元帥である。
-
A.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
B.
Kosuke Imai
Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
-
C.
Hayato Ikeda
Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
-
D.
古賀峯一
古賀峯一は、太平洋戦争中に連合艦隊司令長官を務めた日本海軍の軍人である。
-
E.
Joji Watanuki
Joji Watanuki is a political scientist known for his collaborative work with Samuel P. Huntington on comparative politics and political development.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2038c89248190b880108c82ad35b1 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.