Triple
T4870726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WarnerMedia News & Sports |
E109078
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | CNN Worldwide |
E411966
|
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: CNN Worldwide | Statement: [WarnerMedia News & Sports, relatedTo, CNN Worldwide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNN Worldwide Context triple: [WarnerMedia News & Sports, relatedTo, CNN Worldwide]
-
A.
CNN2
CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
-
B.
BBC World News
BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
-
C.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
D.
Cable News Network
chosen
Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
-
E.
NBC News
NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9c77b88190b3e6884c9752ebbb |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67ee93c08190b3c5b130f82f4bba |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.