Triple

T5037144
Position Surface form Disambiguated ID Type / Status
Subject 永野修身 E113452 entity
Predicate 関連人物 P37304 FINISHED
Object 豊田副武 E21653 NE FINISHED

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: 豊田副武 | Statement: [永野修身, 関連人物, 豊田副武]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 豊田副武
Context triple: [永野修身, 関連人物, 豊田副武]
  • A. Yasuhisa Toyota
    Yasuhisa Toyota is a renowned Japanese acoustician celebrated for designing the sound of many of the world’s leading concert halls and performing arts venues.
  • B. Soemu Toyoda chosen
    Soemu Toyoda was a high-ranking admiral of the Imperial Japanese Navy who served as Commander-in-Chief of the Combined Fleet during the later stages of World War II.
  • C. Shoichiro Toyoda
    Shoichiro Toyoda was a Japanese industrialist who served as president and later chairman of Toyota Motor Corporation, overseeing its rise into a leading global automaker.
  • D. Eiji Toyoda
    Eiji Toyoda was a Japanese industrialist and former president of Toyota Motor Corporation who played a pivotal role in transforming Toyota into a global automotive leader and in developing its renowned lean manufacturing philosophy.
  • E. Sachi Honda
    Sachi Honda was the wife of Soichiro Honda, the founder of Honda Motor Co., and a supportive partner throughout his life and career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cb8d2c8190a0f7c574a177091a completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c79265081908512b39cc74161f8 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.