Triple

T13601474
Position Surface form Disambiguated ID Type / Status
Subject Hoshi Tōru E324951 entity
Predicate nativeName P15 FINISHED
Object 星亨
星亨は、明治時代に活躍した日本の政治家・官僚で、立憲政友会の結成に関わり内務大臣などを務めた人物です。
E1048065 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: 星亨 | Statement: [Hoshi Tōru, nativeName, 星亨]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 星亨
Context triple: [Hoshi Tōru, nativeName, 星亨]
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Xia Heng
    Xia Heng is a Chinese entrepreneur best known as a co-founder of the electric vehicle manufacturer XPeng.
  • C. Hexie Hao
    Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
  • D. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • E. Sun Xiang
    Sun Xiang is a Chinese professional footballer best known as a left-back who played for top Chinese clubs and became the first Chinese player to appear in the UEFA Champions League.
  • 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: 星亨
Triple: [Hoshi Tōru, nativeName, 星亨]
Generated description
星亨は、明治時代に活躍した日本の政治家・官僚で、立憲政友会の結成に関わり内務大臣などを務めた人物です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 星亨
Target entity description: 星亨は、明治時代に活躍した日本の政治家・官僚で、立憲政友会の結成に関わり内務大臣などを務めた人物です。
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Xia Heng
    Xia Heng is a Chinese entrepreneur best known as a co-founder of the electric vehicle manufacturer XPeng.
  • C. Hexie Hao
    Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
  • D. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • E. Sun Xiang
    Sun Xiang is a Chinese professional footballer best known as a left-back who played for top Chinese clubs and became the first Chinese player to appear in the UEFA Champions League.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcde38c8190bc773c3afce75723 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f776449724819096d5363184839e66 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792601748190ba2b95fbfc9f8a3a completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.