Triple

T15248064
Position Surface form Disambiguated ID Type / Status
Subject 品川区 E364438 entity
Predicate hasMayor P185 FINISHED
Object 濱野健
濱野健 is a Japanese politician who has served as the mayor of Tokyo’s Shinagawa Ward.
 E1145696 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: 濱野健 | Statement: [品川区, hasMayor, 濱野健]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 濱野健
Context triple: [品川区, hasMayor, 濱野健]
  • A. Shintaro Fujinami
    Shintaro Fujinami is a Japanese professional baseball pitcher known for his power arm and early stardom in Nippon Professional Baseball before moving to Major League Baseball.
  • B. Eiichi Kono
    Eiichi Kono is a Japanese type designer best known for his work on the digital revival and refinement of the iconic Johnston typeface used across the London Underground.
  • C. Hirokazu Yasuhara
    Hirokazu Yasuhara is a Japanese video game designer best known for his key role in designing and directing the early Sonic the Hedgehog games at Sega.
  • D. Seiji Mizushima
    Seiji Mizushima is a Japanese anime director best known for helming popular series such as the original Fullmetal Alchemist and Mobile Suit Gundam 00.
  • E. Takeuchi Shinichiro
    Takeuchi Shinichiro was a Japanese architect best known for his role in designing Tokyo’s National Diet Building, the seat of Japan’s national legislature.
  • 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: 濱野健
Triple: [品川区, hasMayor, 濱野健]
Generated description
濱野健 is a Japanese politician who has served as the mayor of Tokyo’s Shinagawa Ward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 濱野健
Target entity description: 濱野健 is a Japanese politician who has served as the mayor of Tokyo’s Shinagawa Ward.
  • A. Shintaro Fujinami
    Shintaro Fujinami is a Japanese professional baseball pitcher known for his power arm and early stardom in Nippon Professional Baseball before moving to Major League Baseball.
  • B. Eiichi Kono
    Eiichi Kono is a Japanese type designer best known for his work on the digital revival and refinement of the iconic Johnston typeface used across the London Underground.
  • C. Hirokazu Yasuhara
    Hirokazu Yasuhara is a Japanese video game designer best known for his key role in designing and directing the early Sonic the Hedgehog games at Sega.
  • D. Seiji Mizushima
    Seiji Mizushima is a Japanese anime director best known for helming popular series such as the original Fullmetal Alchemist and Mobile Suit Gundam 00.
  • E. Takeuchi Shinichiro
    Takeuchi Shinichiro was a Japanese architect best known for his role in designing Tokyo’s National Diet Building, the seat of Japan’s national legislature.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.