Triple

T5855488
Position Surface form Disambiguated ID Type / Status
Subject Sumio Iijima E130141 entity
Predicate givenName P17 FINISHED
Object Sumio
Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
 E560134 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: Sumio | Statement: [Sumio Iijima, givenName, Sumio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sumio
Context triple: [Sumio Iijima, givenName, Sumio]
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • E. 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.
  • 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: Sumio
Triple: [Sumio Iijima, givenName, Sumio]
Generated description
Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sumio
Target entity description: Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • E. 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.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03555cd6081908b0307decd60d2bc completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e369ce248190af33d7c09ee10af6 completed March 23, 2026, 6:53 a.m.
NEDg Description generation batch_69c0f70f5af08190a42233eaf6fbf736 completed March 23, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0f8c533f881908a4f7d84a7e8ee31 completed March 23, 2026, 8:24 a.m.
Created at: March 22, 2026, 3:55 p.m.