Triple

T12572995
Position Surface form Disambiguated ID Type / Status
Subject Lucas–Kanade optical flow algorithm E295649 entity
Predicate introducedBy P513 FINISHED
Object Takeo Kanade NE NERFINISHED

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: [Lucas–Kanade optical flow algorithm, introducedBy, Takeo Kanade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeo Kanade
Context triple: [Lucas–Kanade optical flow algorithm, introducedBy, 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. Katsuaki Kamiji
    Katsuaki Kamiji is a Japanese politician who serves as the mayor of the city of Yokosuka in Kanagawa Prefecture.
  • C. 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.
  • D. Yukio Takasu
    Yukio Takasu is a Japanese diplomat who has served in prominent roles at the United Nations, including as Permanent Representative of Japan and UN Under-Secretary-General for Management.
  • E. Nobuyuki Katsube
    Nobuyuki Katsube is a Japanese actor known for his roles in film and television, including a starring performance in the drama "Kumiko, the Treasure Hunter."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a52c788190beac128a97e34dc1 completed April 10, 2026, 7:51 p.m.
Created at: April 8, 2026, 11:50 p.m.