Triple

T4478937
Position Surface form Disambiguated ID Type / Status
Subject Zenko Suzuki E100079 entity
Predicate name P16 FINISHED
Object Zenko Suzuki E100079 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: Zenko Suzuki | Statement: [Zenko Suzuki, name, Zenko Suzuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zenko Suzuki
Context triple: [Zenko Suzuki, name, Zenko Suzuki]
  • A. Zenko Suzuki chosen
    Zenko Suzuki was a Japanese politician who served as Prime Minister of Japan in the early 1980s, leading the Liberal Democratic Party during a period of economic growth and shifting international relations.
  • B. Akira Suzuki
    Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
  • C. Yōichirō Suzuki
    Yōichirō Suzuki is a physicist who completed his doctoral studies under Nobel Prize–winning theoretical physicist Yoichiro Nambu.
  • D. Masaaki Suzuki
    Masaaki Suzuki was an Imperial Japanese military officer who commanded forces during World War II, including in the Pacific campaign.
  • E. Michio Suzuki
    Michio Suzuki was a Japanese industrialist and entrepreneur best known as the founder of the company that became Suzuki Motor Corporation, a major global manufacturer of automobiles and motorcycles.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69be67ac56548190a2d52b055cb48e8e completed March 21, 2026, 9:41 a.m.
Created at: March 12, 2026, 11:35 p.m.