Triple

T22139851
Position Surface form Disambiguated ID Type / Status
Subject 犬養毅 E547127 entity
Predicate P82110 FINISHED
Object 安藤和津
安藤和津は、日本のエッセイスト・コメンテーターとして知られる人物です。
E1520991 NE FINISHED

How this triple was built (5 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: 安藤和津 | Statement: [犬養毅, 孫, 安藤和津]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 安藤和津
Context triple: [犬養毅, 孫, 安藤和津]
  • A. 加藤
    加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.
  • B. 近藤浩治
    近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
  • C. 安藤 百福
    安藤 百福 was a Taiwanese-Japanese inventor and entrepreneur best known as the creator of instant noodles and the founder of Nissin Foods.
  • D. 伊藤文吉
    伊藤文吉は、日本の初代内閣総理大臣である伊藤博文の子として知られる人物である。
  • E. 藤村 修
    藤村修は、民主党政権期に内閣官房長官などを務めた日本の政治家です。
  • 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: 安藤和津
Triple: [犬養毅, 孫, 安藤和津]
Generated description
安藤和津は、日本のエッセイスト・コメンテーターとして知られる人物です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 安藤和津
Target entity description: 安藤和津は、日本のエッセイスト・コメンテーターとして知られる人物です。
  • A. 加藤
    加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.
  • B. 近藤浩治
    近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
  • C. 安藤 百福
    安藤 百福 was a Taiwanese-Japanese inventor and entrepreneur best known as the creator of instant noodles and the founder of Nissin Foods.
  • D. 伊藤文吉
    伊藤文吉は、日本の初代内閣総理大臣である伊藤博文の子として知られる人物である。
  • E. 藤村 修
    藤村修は、民主党政権期に内閣官房長官などを務めた日本の政治家です。
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 孫
Context triple: [犬養毅, 孫, 安藤和津]
  • A. chosen
    Indicates that the second person is the grandchild (specifically grandson) of the first person.
  • B. Wang Ben
    Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
  • C.
    Indicates that 玉依姫 is the wife of 鵜葺草葺不合命, expressing a spousal relationship between them.
  • D. 開基
    Indicates the act of founding or establishing something for the first time, such as initiating a lineage, enterprise, or domain.
  • E. kangxiRadicalName
    Indicates the specific Kangxi radical name associated with a given Chinese character or radical index.
  • F. None of above.

Provenance (6 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bda1208190b851ae5c68b760e9 completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fa6fc08190b2985b2b350c7336 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97cc77b481909587d3fb58a2a39d completed May 18, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0a983409c4819092262706e79111fc completed May 18, 2026, 4:40 a.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
Created at: April 16, 2026, 8:32 p.m.