Triple

T21160559
Position Surface form Disambiguated ID Type / Status
Subject Mr. Miyagi E521429 entity
Predicate portrayedBy P1507 FINISHED
Object Pat Morita 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: Pat Morita | Statement: [Mr. Miyagi, portrayedBy, Pat Morita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Morita
Context triple: [Mr. Miyagi, portrayedBy, Pat Morita]
  • A. Pat Morita chosen
    Pat Morita was a Japanese-American actor and comedian best known for his role as Mr. Miyagi in "The Karate Kid" film series.
  • B. Tokujin Yoshioka
    Tokujin Yoshioka is a renowned Japanese designer and artist celebrated for his innovative use of light, transparent materials, and poetic minimalism in furniture, interiors, and installations.
  • C. Dan Inosanto
    Dan Inosanto is a Filipino-American martial arts instructor and Jeet Kune Do expert best known as Bruce Lee’s close student and collaborator, as well as a key figure in popularizing Filipino martial arts worldwide.
  • D. Robert Ito
    Robert Ito is a Canadian character actor best known for his extensive television work, including his role as forensic lab technician Sam Fujiyama on the series "Quincy, M.E."
  • E. Takeshi Katō
    Takeshi Katō was a Japanese actor known for his supporting roles in numerous postwar films and television dramas.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252f70888190b8e6109cc4099ecc completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.