Triple

T3686124
Position Surface form Disambiguated ID Type / Status
Subject Jun’ya Koizumi E78228 entity
Predicate givenName P17 FINISHED
Object Jun’ya
Jun’ya is a Japanese given name commonly used for males and borne by various notable figures in Japan.
E392034 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: Jun’ya | Statement: [Jun’ya Koizumi, givenName, Jun’ya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jun’ya
Context triple: [Jun’ya Koizumi, givenName, Jun’ya]
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • 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: Jun’ya
Triple: [Jun’ya Koizumi, givenName, Jun’ya]
Generated description
Jun’ya is a Japanese given name commonly used for males and borne by various notable figures in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jun’ya
Target entity description: Jun’ya is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503df6c708190b8adf4afcadde20c completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b5051616f4819083e9277886464dce completed March 14, 2026, 6:49 a.m.
NED2 Entity disambiguation (via description) batch_69b50586ff388190b76589348e452896 completed March 14, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:26 p.m.