Triple

T1477395
Position Surface form Disambiguated ID Type / Status
Subject Shizuo Kakutani E30873 entity
Predicate familyName P18 FINISHED
Object Kakutani E30873 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: Kakutani | Statement: [Shizuo Kakutani, familyName, Kakutani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakutani
Context triple: [Shizuo Kakutani, familyName, Kakutani]
  • A. Shizuo Kakutani chosen
    Shizuo Kakutani was a Japanese-American mathematician renowned for his contributions to functional analysis and probability theory, including the formulation of the Kakutani fixed-point theorem.
  • B. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • C. Sakai Takashi
    Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
  • D. Koji Sato
    Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
  • E. Mineichi Koga
    Mineichi Koga was an admiral in the Imperial Japanese Navy who succeeded Isoroku Yamamoto as commander-in-chief of the Combined Fleet during World War II.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c605d4c0819088ab06678b2ba6f3 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:11 p.m.