Triple

T6068501
Position Surface form Disambiguated ID Type / Status
Subject Yasuhisa Toyota E135219 entity
Predicate nativeName P15 FINISHED
Object 豊田泰久
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
E567511 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: 豊田泰久 | Statement: [Yasuhisa Toyota, nativeName, 豊田泰久]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 豊田泰久
Context triple: [Yasuhisa Toyota, nativeName, 豊田泰久]
  • A. Shigeru Fukudome
    Shigeru Fukudome was a senior admiral in the Imperial Japanese Navy who held key staff and command positions during World War II.
  • B. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • C. Makino Nobuaki
    Makino Nobuaki was a Japanese diplomat and statesman who played a key role in Japan’s foreign policy during the late Meiji and Taishō periods, including its participation in the Paris Peace Conference and the early League of Nations era.
  • D. Takeshi Hamano
    Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
  • E. Motohiro Ōno
    Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
  • 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: 豊田泰久
Triple: [Yasuhisa Toyota, nativeName, 豊田泰久]
Generated description
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 豊田泰久
Target entity description: 豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
  • A. Shigeru Fukudome
    Shigeru Fukudome was a senior admiral in the Imperial Japanese Navy who held key staff and command positions during World War II.
  • B. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • C. Makino Nobuaki
    Makino Nobuaki was a Japanese diplomat and statesman who played a key role in Japan’s foreign policy during the late Meiji and Taishō periods, including its participation in the Paris Peace Conference and the early League of Nations era.
  • D. Takeshi Hamano
    Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
  • E. Motohiro Ōno
    Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057403a8081908b593472fcc0d699 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d2f43a88190a7a6834a7624998d completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e72a25481908ca18e71d69ce449 completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1223a5800819097c34eabf968e87e completed March 23, 2026, 11:21 a.m.
Created at: March 22, 2026, 4:10 p.m.