Triple

T6492684
Position Surface form Disambiguated ID Type / Status
Subject Makoto Kobayashi E148078 entity
Predicate doctoralAdvisor P167 FINISHED
Object Shoichi Sakata E149606 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: Shoichi Sakata | Statement: [Makoto Kobayashi, doctoralAdvisor, Shoichi Sakata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoichi Sakata
Context triple: [Makoto Kobayashi, doctoralAdvisor, Shoichi Sakata]
  • A. Shoichi Sakata chosen
    Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
  • B. Toshiyuki Sakata
    Toshiyuki Sakata, better known by his stage name Harold Sakata, was a Japanese American professional wrestler and actor most famous for playing the henchman Oddjob in the James Bond film "Goldfinger."
  • C. Tomosaburō
    Tomosaburō is a Japanese masculine given name most notably borne by Katō Tomosaburō, an admiral and Prime Minister of Japan in the early 20th century.
  • D. Koji Sato
    Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
  • E. Jōtarō Watanabe
    Jōtarō Watanabe was a Japanese figure who became historically known as one of the prominent victims killed during the 1936 February 26 Incident, an attempted military coup in Tokyo.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f489b62b808190a3fc89e73e8ae2f7 completed May 1, 2026, 11:08 a.m.
Created at: March 22, 2026, 4:53 p.m.