Triple
T12668414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Behar |
E302615
|
entity |
| Predicate | networkOfShow |
P833
|
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: [Joy Behar, networkOfShow, HLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLN Context triple: [Joy Behar, networkOfShow, 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.
HLN
HLN is the IATA airport code for Helena Regional Airport, a public airport serving Helena, Montana, in the United States.
-
C.
TLN
TLN is the IATA airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southern France.
-
D.
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.
-
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 (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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688bfc048190970d281e66c34cdc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.