Triple

T2949043
Position Surface form Disambiguated ID Type / Status
Subject Ueki Emori E79573 entity
Predicate familyName P18 FINISHED
Object Ueki
Ueki is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
 E445815 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: Ueki | Statement: [Ueki Emori, familyName, Ueki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ueki
Context triple: [Ueki Emori, familyName, Ueki]
  • A. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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: Ueki
Triple: [Ueki Emori, familyName, Ueki]
Generated description
Ueki is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ueki
Target entity description: Ueki is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • A. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd41fa66dc8190a2cafd8df215e971 completed March 20, 2026, 12:47 p.m.
NEDg Description generation batch_69bd431c572c8190a59035a9b4a41112 completed March 20, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69bd43ca589881908a6c6052353a0963 completed March 20, 2026, 12:55 p.m.
Created at: March 8, 2026, 2:57 p.m.