Triple

T3047562
Position Surface form Disambiguated ID Type / Status
Subject Kiichiro Toyoda E83486 entity
Predicate name P16 FINISHED
Object Kiichiro Toyoda E83486 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: Kiichiro Toyoda | Statement: [Kiichiro Toyoda, name, Kiichiro Toyoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiichiro Toyoda
Context triple: [Kiichiro Toyoda, name, Kiichiro Toyoda]
  • A. Kiichiro Toyoda chosen
    Kiichiro Toyoda was a Japanese industrialist who transformed his family’s loom business into what became the Toyota automotive empire and pioneered Japan’s modern automobile industry.
  • B. Soemu Toyoda
    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. Soichiro Honda
    Soichiro Honda was a pioneering Japanese engineer and entrepreneur who built Honda from a small workshop into one of the world’s leading automobile and motorcycle manufacturers.
  • D. 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.
  • E. Robert Komatsu
    Robert Komatsu is a film and television editor known for his work on projects such as the 2013 biographical drama "Jobs."
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bad11b48190a5bd01e91a320e14 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.