Triple

T2131114
Position Surface form Disambiguated ID Type / Status
Subject Isamu Akasaki E46540 entity
Predicate givenName P17 FINISHED
Object Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
 E237464 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: Isamu | Statement: [Isamu Akasaki, givenName, Isamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Isamu
Context triple: [Isamu Akasaki, givenName, Isamu]
  • A. Isamu Yokoyama
    Isamu Yokoyama was an Imperial Japanese Army general who played a prominent leadership role in major early Second Sino-Japanese War operations.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Isamu Chō
    Isamu Chō was an Imperial Japanese Army general known for his extreme nationalism and key leadership role in Japan’s final World War II battles, including the defense of Okinawa.
  • D. Tange
    Tange is a Japanese surname most famously associated with Kenzo Tange, the influential modernist architect and Pritzker Prize laureate.
  • E. Ryoji Noyori
    Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
  • 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: Isamu
Triple: [Isamu Akasaki, givenName, Isamu]
Generated description
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Isamu
Target entity description: Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
  • A. Isamu Yokoyama
    Isamu Yokoyama was an Imperial Japanese Army general who played a prominent leadership role in major early Second Sino-Japanese War operations.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Isamu Chō
    Isamu Chō was an Imperial Japanese Army general known for his extreme nationalism and key leadership role in Japan’s final World War II battles, including the defense of Okinawa.
  • D. Tange
    Tange is a Japanese surname most famously associated with Kenzo Tange, the influential modernist architect and Pritzker Prize laureate.
  • E. Ryoji Noyori
    Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb79f21881909ad8d1a09c1f29fd completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a5d95881909b4b77c14f565e21 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae523cdebc819088b94e67b5311527 completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae52c56c5c8190bbdd2af3dde63374 completed March 9, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:44 p.m.