Triple
T24197009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korean television dramas |
E599860
|
entity |
| Predicate | notablePeriodOfGlobalRise |
P105129
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [South Korean television dramas, notablePeriodOfGlobalRise, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePeriodOfGlobalRise Context triple: [South Korean television dramas, notablePeriodOfGlobalRise, 2010s]
-
A.
historicalEraOfRise
Indicates the historical era or period during which an entity first rose to prominence, influence, or significance.
-
B.
historicalPeriodOfGreatestUse
Indicates the time period during which something was used most intensively or prevalently.
-
C.
notablePopularityPeriod
chosen
Indicates the time span during which something was especially popular or widely recognized.
-
D.
historicalPeriodOfRapidDevelopment
Indicates a time span during which something undergoes unusually fast or intense growth, change, or advancement compared to other periods.
-
E.
historicalPeriodOfProsperity
Indicates a time span in which a society, region, or entity experienced notable economic growth, stability, and overall flourishing.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24c103481908ea49dd8e77dee32 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.