Triple

T10635203
Position Surface form Disambiguated ID Type / Status
Subject Makoto Uchida E250561 entity
Predicate name P16 FINISHED
Object Makoto Uchida E250561 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: Makoto Uchida | Statement: [Makoto Uchida, name, Makoto Uchida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makoto Uchida
Context triple: [Makoto Uchida, name, Makoto Uchida]
  • A. Makoto Uchida chosen
    Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
  • B. Makoto Yamashita
    Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
  • C. Makoto Kobayashi
    Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
  • D. Shinichi Tamura
    Shinichi Tamura is a key executive and scientific leader associated with Heptares Therapeutics, a biopharmaceutical company specializing in G protein-coupled receptor (GPCR) drug discovery.
  • E. Senichi Hoshino
    Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:03 p.m.