Triple

T1730135
Position Surface form Disambiguated ID Type / Status
Subject Yoichiro Nambu E37589 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: [Yoichiro Nambu, doctoralAdvisor, Shoichi Sakata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoichi Sakata
Context triple: [Yoichiro Nambu, 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. Koji Sato
    Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
  • C. Tetsu Katayama
    Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
  • D. 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.
  • E. Saburō Kurusu
    Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b31983cab08190afcd168864c9ccf2 completed March 12, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:30 p.m.