Triple
T14527681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Morita |
E340821
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pat "Mr. Miyagi" Morita |
E340821
|
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: Pat "Mr. Miyagi" Morita | Statement: [Pat Morita, alsoKnownAs, Pat "Mr. Miyagi" Morita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat "Mr. Miyagi" Morita Context triple: [Pat Morita, alsoKnownAs, Pat "Mr. Miyagi" Morita]
-
A.
Mr. Miyagi
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.
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.
-
D.
Kenichi
Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
-
E.
Eddie Sakamura
Eddie Sakamura is a flamboyant, hedonistic Japanese playboy and key suspect entangled in corporate intrigue and murder in the techno-thriller film "Rising Sun."
- 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_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.