Triple

T23421737
Position Surface form Disambiguated ID Type / Status
Subject Tsuyoshi Ihara E560673 entity
Predicate nativeName P15 FINISHED
Object 伊原剛志
伊原剛志は、日本の映画やテレビドラマ、舞台で幅広く活躍し、国際作品にも出演している俳優です。
E1587208 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: 伊原剛志 | Statement: [Tsuyoshi Ihara, nativeName, 伊原剛志]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 伊原剛志
Context triple: [Tsuyoshi Ihara, nativeName, 伊原剛志]
  • A. 前原誠司
    前原誠司は、日本の政治家であり、国土交通大臣などの要職を歴任してきた民主党・民進党系の中堅議員として知られている人物である。
  • B. 長島雄一
    長島雄一は、日本の声優・ナレーターとして知られる人物です。
  • C. 吉田遠志
    吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • D. 幣原喜重郎
    幣原喜重郎は、戦後日本の首相として日本国憲法制定期の外交・内政を主導した外交官出身の政治家です。
  • E. 川村純義
    川村純義 was a Meiji-era Japanese naval officer and statesman who became one of the founding leaders of the modern Imperial Japanese Navy.
  • 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: 伊原剛志
Triple: [Tsuyoshi Ihara, nativeName, 伊原剛志]
Generated description
伊原剛志は、日本の映画やテレビドラマ、舞台で幅広く活躍し、国際作品にも出演している俳優です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 伊原剛志
Target entity description: 伊原剛志は、日本の映画やテレビドラマ、舞台で幅広く活躍し、国際作品にも出演している俳優です。
  • A. 前原誠司
    前原誠司は、日本の政治家であり、国土交通大臣などの要職を歴任してきた民主党・民進党系の中堅議員として知られている人物である。
  • B. 長島雄一
    長島雄一は、日本の声優・ナレーターとして知られる人物です。
  • C. 吉田遠志
    吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
  • D. 幣原喜重郎
    幣原喜重郎は、戦後日本の首相として日本国憲法制定期の外交・内政を主導した外交官出身の政治家です。
  • E. 川村純義
    川村純義 was a Meiji-era Japanese naval officer and statesman who became one of the founding leaders of the modern Imperial Japanese Navy.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a546c08c8190b57d90e88034eef3 completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a372f88190a9cee3c37e4e6507 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72156130819082e1d07262e144ca completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:46 p.m.