Triple

T14527698
Position Surface form Disambiguated ID Type / Status
Subject Pat Morita E340821 entity
Predicate characterRole P268 FINISHED
Object Mr. Miyagi E521429 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: Mr. Miyagi | Statement: [Pat Morita, characterRole, Mr. Miyagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Miyagi
Context triple: [Pat Morita, characterRole, Mr. Miyagi]
  • A. Mr. Miyagi chosen
    Mr. Miyagi is the wise, soft-spoken karate master and mentor from "The Karate Kid" film series, known for teaching life lessons through unconventional training methods.
  • B. John Kreese
    John Kreese is the ruthless sensei of the Cobra Kai dojo in the Karate Kid franchise, known for his "no mercy" philosophy and antagonistic role against Daniel LaRusso and Mr. Miyagi.
  • C. Kenichi
    Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • D. Mestre
    Mestre is the mainland district of Venice, Italy, serving as a major residential, commercial, and transportation hub connected to the historic island city across the Venetian Lagoon.
  • E. Hondo Ohnaka
    Hondo Ohnaka is a roguish Weequay pirate and charming scoundrel in the Star Wars universe, known for his opportunistic alliances and humorous, self-serving antics.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea051bc608190ad4d516c5e7bca43 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.