Triple

T17827521
Position Surface form Disambiguated ID Type / Status
Subject Soichiro Honda E445158 entity
Predicate nativeName P15 FINISHED
Object 本田 宗一郎 NE NERFINISHED

How this triple was built (2 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: 本田 宗一郎 | Statement: [Soichiro Honda, nativeName, 本田 宗一郎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 本田 宗一郎
Context triple: [Soichiro Honda, nativeName, 本田 宗一郎]
  • A. Kantarō Suzuki
    Kantarō Suzuki was a Japanese admiral and statesman who served as prime minister during the final months of World War II and oversaw Japan’s decision to surrender.
  • B. Mugen-Honda
    Mugen-Honda was a racing engine partnership between Mugen Motorsports and Honda that supplied competitive Formula One power units in the 1990s.
  • C. Takeshi Honda
    Takeshi Honda is a Japanese figure skater known as one of his country’s leading men’s singles competitors in the late 1990s and early 2000s, earning multiple international medals and national titles.
  • D. Sachi Honda chosen
    Sachi Honda was the wife of Soichiro Honda, the founder of Honda Motor Co., and a supportive partner throughout his life and career.
  • E. 松井一郎
    松井一郎 is a Japanese politician best known as a leading figure of the Japan Innovation Party and former governor of Osaka Prefecture and mayor of Osaka City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48915d0fc819080ab03feb2465834 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.