Triple

T9940958
Position Surface form Disambiguated ID Type / Status
Subject Masayuki E194078 entity
Predicate canBeWrittenWithKanji P59069 FINISHED
Object 昌幸
昌幸 is a Japanese given name, typically masculine, that can be written with kanji characters meaning concepts such as "prosperity" and "good fortune."
 E830649 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: 昌幸 | Statement: [Masayuki, canBeWrittenWithKanji, 昌幸]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 昌幸
Context triple: [Masayuki, canBeWrittenWithKanji, 昌幸]
  • A. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • B. 加藤
    加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.
  • C. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • D. 佐藤
    佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
  • 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: 昌幸
Triple: [Masayuki, canBeWrittenWithKanji, 昌幸]
Generated description
昌幸 is a Japanese given name, typically masculine, that can be written with kanji characters meaning concepts such as "prosperity" and "good fortune."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 昌幸
Target entity description: 昌幸 is a Japanese given name, typically masculine, that can be written with kanji characters meaning concepts such as "prosperity" and "good fortune."
  • A. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • B. 加藤
    加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.
  • C. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • D. 佐藤
    佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d229080d0081908b66b9c4166db252 completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d22a07d4088190b19b4529c0a56f8d completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22b37ce8481909a52a144605d44a4 completed April 5, 2026, 9:28 a.m.
Created at: March 30, 2026, 8:44 p.m.