Triple
T17024558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Karate Kid (2010 film) |
E413028
|
entity |
| Predicate | originalMartialArtIn1984Film |
P125546
|
FINISHED |
| Object | karate |
—
|
LITERAL 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: karate | Statement: [The Karate Kid (2010 film), originalMartialArtIn1984Film, karate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMartialArtIn1984Film Context triple: [The Karate Kid (2010 film), originalMartialArtIn1984Film, karate]
-
A.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
-
B.
isGrapplingArt
Indicates that the subject is a martial art or combat style primarily focused on grappling techniques such as holds, locks, and throws.
-
C.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
D.
打撃スタイル
Indicates a relationship where an entity is characterized by or associated with a particular style or manner of striking or hitting.
-
E.
hasFightSceneWith
Indicates that two entities participate together in a fight scene or combat sequence.
- F. None of above. chosen
Provenance (4 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.