Triple
T12916826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Karate Kid Part III |
E309006
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | John Kreese |
E1011346
|
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: John Kreese | Statement: [The Karate Kid Part III, antagonist, John Kreese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kreese Context triple: [The Karate Kid Part III, antagonist, John Kreese]
-
A.
John Kreese
chosen
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.
-
B.
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.
-
C.
Jacknife Lee
Jacknife Lee is an Irish music producer and mixer known for his work with major rock and pop acts such as U2, R.E.M., and Snow Patrol.
-
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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e7e9fc8190ad065a587c6c45dd |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:41 p.m.