Triple
T6284487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBC |
E140863
|
entity |
| Predicate | flagshipNewsProgram |
P5271
|
FINISHED |
| Object | MBC Newsdesk |
E140863
|
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: MBC Newsdesk | Statement: [MBC, flagshipNewsProgram, MBC Newsdesk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBC Newsdesk Context triple: [MBC, flagshipNewsProgram, MBC Newsdesk]
-
A.
MBC
chosen
MBC is a major South Korean television network known for broadcasting a wide range of entertainment, news, and cultural programs domestically and internationally.
-
B.
MBN
MBN is a U.S.-government-funded media organization that operates Arabic-language television, radio, and digital news services targeting audiences in the Middle East and North Africa.
-
C.
Korean Wikinews
Korean Wikinews is the Korean-language edition of the Wikinews project, offering collaboratively written, free-content news articles in Korean.
-
D.
KTBC
KTBC is a Fox-owned television station serving the Austin, Texas market.
-
E.
JCBC
JCBC is the rowing club of Jesus College, which competes in collegiate rowing events such as the Oxford bumps races.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fc906481908283c6c50a212515 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196864788190934e7c66d450dcf1 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.