Triple

T21304809
Position Surface form Disambiguated ID Type / Status
Subject Fusakichi Omori E525165 entity
Predicate nativeName P15 FINISHED
Object 大森 房吉
大森房吉 was a pioneering Japanese seismologist known for his work on earthquake prediction and the development of the Omori formula describing the decay of aftershock frequency over time.
E1477211 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: 大森 房吉 | Statement: [Fusakichi Omori, nativeName, 大森 房吉]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大森 房吉
Context triple: [Fusakichi Omori, nativeName, 大森 房吉]
  • A. 杉森建
    杉森建 is a Japanese illustrator, character designer, and art director best known for creating many of the original Pokémon designs and overseeing the visual style of the Pokémon game series.
  • B. 山内 房治郎
    山内 房治郎 was a Japanese entrepreneur best known as the founder of Nintendo, originally established as a playing card company in the late 19th century.
  • C. 丸山毅四郎
    丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
  • D. 大山巌
    大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
  • E. 浅沼 稲次郎
    浅沼稲次郎は、日本社会党の委員長として知られ、1960年に演説中に暗殺されたことで日本戦後政治史に大きな衝撃を与えた政治家である。
  • 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: 大森 房吉
Triple: [Fusakichi Omori, nativeName, 大森 房吉]
Generated description
大森房吉 was a pioneering Japanese seismologist known for his work on earthquake prediction and the development of the Omori formula describing the decay of aftershock frequency over time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大森 房吉
Target entity description: 大森房吉 was a pioneering Japanese seismologist known for his work on earthquake prediction and the development of the Omori formula describing the decay of aftershock frequency over time.
  • A. 杉森建
    杉森建 is a Japanese illustrator, character designer, and art director best known for creating many of the original Pokémon designs and overseeing the visual style of the Pokémon game series.
  • B. 山内 房治郎
    山内 房治郎 was a Japanese entrepreneur best known as the founder of Nintendo, originally established as a playing card company in the late 19th century.
  • C. 丸山毅四郎
    丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
  • D. 大山巌
    大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
  • E. 浅沼 稲次郎
    浅沼稲次郎は、日本社会党の委員長として知られ、1960年に演説中に暗殺されたことで日本戦後政治史に大きな衝撃を与えた政治家である。
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa341908190963c4368708860b8 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed32130819081479d9845d74ac3 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f69f1e08190bf96197fcf42b897 completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a099feeda3481909d8020763f32d430 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:05 p.m.