Triple

T1730104
Position Surface form Disambiguated ID Type / Status
Subject Yoichiro Nambu E37589 entity
Predicate familyName P18 FINISHED
Object Nambu
Nambu is a Japanese surname most notably associated with Nobel Prize–winning physicist Yoichiro Nambu.
E194942 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: Nambu | Statement: [Yoichiro Nambu, familyName, Nambu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nambu
Context triple: [Yoichiro Nambu, familyName, Nambu]
  • A. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Yukawa
    Yukawa is a Japanese surname most famously associated with theoretical physicist Hideki Yukawa, the first Japanese Nobel laureate in Physics.
  • D. Kashiwara
    Kashiwara is a city in Osaka Prefecture, Japan, known as a suburban residential and commercial area within the Kansai region’s rail network.
  • E. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • 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: Nambu
Triple: [Yoichiro Nambu, familyName, Nambu]
Generated description
Nambu is a Japanese surname most notably associated with Nobel Prize–winning physicist Yoichiro Nambu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nambu
Target entity description: Nambu is a Japanese surname most notably associated with Nobel Prize–winning physicist Yoichiro Nambu.
  • A. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • B. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • C. Yukawa
    Yukawa is a Japanese surname most famously associated with theoretical physicist Hideki Yukawa, the first Japanese Nobel laureate in Physics.
  • D. Kashiwara
    Kashiwara is a city in Osaka Prefecture, Japan, known as a suburban residential and commercial area within the Kansai region’s rail network.
  • E. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af9c15c8190818a891f5eae6569 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957ce41881909f1e214ebf4b08a4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b479bc81908b5f75b5df41f577 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.