Triple

T2739061
Position Surface form Disambiguated ID Type / Status
Subject Takeo Kanade E60704 entity
Predicate name P16 FINISHED
Object Takeo Kanade E60704 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: Takeo Kanade | Statement: [Takeo Kanade, name, Takeo Kanade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeo Kanade
Context triple: [Takeo Kanade, name, Takeo Kanade]
  • A. Takeo Kanade chosen
    Takeo Kanade is a pioneering Japanese computer scientist and roboticist renowned for his foundational contributions to computer vision, robotics, and autonomous systems.
  • B. Shigetarō Shimada
    Shigetarō Shimada was an admiral in the Imperial Japanese Navy who served as Navy Minister and a key naval leader during World War II.
  • C. Takeo Miki
    Takeo Miki was a Japanese politician who served as Prime Minister in the mid-1970s and was known for his efforts to reform the ruling Liberal Democratic Party and restore public trust after political scandals.
  • D. Kiyotake Kawaguchi
    Kiyotake Kawaguchi was an Imperial Japanese Army general best known for leading Japanese forces in the Guadalcanal campaign during World War II.
  • E. Shigeru Fukudome
    Shigeru Fukudome was a senior admiral in the Imperial Japanese Navy who held key staff and command positions 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb147a588190829b74fe05b3a114 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69be89b0441881908b87c7a62434e79a completed March 21, 2026, 12:06 p.m.
Created at: March 6, 2026, 9:56 p.m.