Triple
T19410660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 황동혁 |
E485576
|
entity |
| Predicate | 플랫폼 |
P1292
|
FINISHED |
| Object | 넷플릭스와 협업 |
—
|
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: 넷플릭스와 협업 | Statement: [황동혁, 플랫폼, 넷플릭스와 협업]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 플랫폼 Context triple: [황동혁, 플랫폼, 넷플릭스와 협업]
-
A.
platforms
chosen
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
B.
typicalPlatform
Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
-
C.
laterPlatform
Indicates that one entity occurs, appears, or is positioned on a platform that comes after another platform in time or sequence.
-
D.
originPlatform
Indicates the platform, system, or environment from which an entity, event, or piece of data originally comes.
-
E.
launchPlatformName
Indicates the name of the platform or site from which a launch (typically of a vehicle, rocket, or mission) is conducted.
- F. None of above.
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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.