Triple

T1244421
Position Surface form Disambiguated ID Type / Status
Subject Mamoru Shigemitsu E26731 entity
Predicate nativeName P15 FINISHED
Object 重光 葵
重光 葵 (Mamoru Shigemitsu) was a Japanese diplomat and politician best known for serving as Foreign Minister during and after World War II and for signing Japan’s Instrument of Surrender in 1945.
E142529 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: 重光 葵 | Statement: [Mamoru Shigemitsu, nativeName, 重光 葵]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 重光 葵
Context triple: [Mamoru Shigemitsu, nativeName, 重光 葵]
  • A. Master Baiguang
    Master Baiguang was a Buddhist monk best known as the founding abbot of Guiyuan Temple, an important temple in Chinese Buddhism.
  • B. 南 次郎
    南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
  • C. 新嘗祭
    新嘗祭 is a traditional Japanese imperial harvest festival in which the Emperor offers newly harvested rice to the deities and partakes of it to give thanks and pray for prosperity.
  • D. 永野修身
    永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
  • E. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • 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: 重光 葵
Triple: [Mamoru Shigemitsu, nativeName, 重光 葵]
Generated description
重光 葵 (Mamoru Shigemitsu) was a Japanese diplomat and politician best known for serving as Foreign Minister during and after World War II and for signing Japan’s Instrument of Surrender in 1945.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 重光 葵
Target entity description: 重光 葵 (Mamoru Shigemitsu) was a Japanese diplomat and politician best known for serving as Foreign Minister during and after World War II and for signing Japan’s Instrument of Surrender in 1945.
  • A. Master Baiguang
    Master Baiguang was a Buddhist monk best known as the founding abbot of Guiyuan Temple, an important temple in Chinese Buddhism.
  • B. 南 次郎
    南 次郎(Jirō Minami)は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
  • C. 新嘗祭
    新嘗祭 is a traditional Japanese imperial harvest festival in which the Emperor offers newly harvested rice to the deities and partakes of it to give thanks and pray for prosperity.
  • D. 永野修身
    永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
  • E. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf636e208190a4d56806db61916c completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7bd6148190933210f66a8899ce completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac900a6c208190b3c76efcec1186ec completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac9111e6288190b83074bd05e2f282 completed March 7, 2026, 8:56 p.m.
Created at: March 1, 2026, 7:47 p.m.