Triple
T19937009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNN International |
E479198
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | CNN International Network |
—
|
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: CNN International Network | Statement: [CNN International, formerName, CNN International Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNN International Network Context triple: [CNN International, formerName, CNN International Network]
-
A.
CNN International
chosen
CNN International is a global 24-hour news television channel providing international news coverage and analysis to audiences worldwide.
-
B.
CNN.com
CNN.com is the online news website of CNN, providing global news coverage, analysis, and multimedia content.
-
C.
CNN2
CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
-
D.
CBS Broadcast International
CBS Broadcast International was the global television distribution and syndication arm of the CBS network, responsible for licensing and marketing CBS programming to international broadcasters.
-
E.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a17fb2c8190b3aaae88e741648a |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.