Triple
T5423808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNN2 |
E121313
|
entity |
| Predicate | formerNameOf |
P65
|
FINISHED |
| Object | HLN |
E22803
|
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: HLN | Statement: [CNN2, formerNameOf, HLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLN Context triple: [CNN2, formerNameOf, HLN]
-
A.
HLN
chosen
HLN is an American cable news channel, originally launched as CNN Headline News, that focuses on concise news updates and true-crime programming.
-
B.
TLN
TLN is the IATA airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southern France.
-
C.
NBC News Now
NBC News Now is a free, ad-supported streaming news channel from NBC News that provides live, rolling coverage and original news programming across digital platforms.
-
D.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
E.
C‑SPAN
C‑SPAN is an American public service cable network best known for its uninterrupted, gavel-to-gavel coverage of U.S. government proceedings and public affairs programming.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3abbd1e481909ffb443812a9485a |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.