Triple

T4341829
Position Surface form Disambiguated ID Type / Status
Subject Nakajima Sakae 11 E97798 entity
Predicate predecessor P97 FINISHED
Object Nakajima Hikari
Nakajima Hikari is a Japanese politician who served as the successor to Nakajima Sakae 11 in public office.
 E430727 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: Nakajima Hikari | Statement: [Nakajima Sakae 11, predecessor, Nakajima Hikari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakajima Hikari
Context triple: [Nakajima Sakae 11, predecessor, Nakajima Hikari]
  • A. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • B. Aichi Atsuta
    The Aichi Atsuta was a Japanese liquid-cooled aircraft engine, a licensed version of the German Daimler-Benz DB 601, used primarily in World War II naval aircraft.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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: Nakajima Hikari
Triple: [Nakajima Sakae 11, predecessor, Nakajima Hikari]
Generated description
Nakajima Hikari is a Japanese politician who served as the successor to Nakajima Sakae 11 in public office.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakajima Hikari
Target entity description: Nakajima Hikari is a Japanese politician who served as the successor to Nakajima Sakae 11 in public office.
  • A. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • B. Aichi Atsuta
    The Aichi Atsuta was a Japanese liquid-cooled aircraft engine, a licensed version of the German Daimler-Benz DB 601, used primarily in World War II naval aircraft.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • E. Hōshō
    Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351878c148190b384053479d41caf completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0b435e48190a79907fcf80756b2 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d14748108190a6f5d4aebaa83ed6 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1b610888190bccace493224c373 completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:14 p.m.