Triple
T22123747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feelings |
E546738
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | KBS2 |
—
|
NE NERFINISHED |
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: KBS2 | Statement: [Feelings, originalNetwork, KBS2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBS2 Context triple: [Feelings, originalNetwork, KBS2]
-
A.
KBS
chosen
KBS is South Korea's national public broadcaster, known for its television, radio, and online services.
-
B.
KBS
KBS is a major bus terminal in Bengaluru, India, serving as one of the city’s primary hubs for intra-city and inter-city bus transport.
-
C.
MBC
MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
-
D.
MBC Dramia
MBC Dramia is a large historical drama filming set and tourist attraction in Yongin, South Korea, featuring full-scale replicas of traditional Korean palaces and villages used in popular TV series.
-
E.
tvN
tvN is a South Korean cable television network known for producing popular and critically acclaimed dramas, variety shows, and entertainment programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.