Triple
T12259827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headies Award |
E292190
|
entity |
| Predicate | broadcastOn |
P833
|
FINISHED |
| Object | HipTV |
E968698
|
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: HipTV | Statement: [Headies Award, broadcastOn, HipTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HipTV Context triple: [Headies Award, broadcastOn, HipTV]
-
A.
HipTV
chosen
HipTV is a Nigerian entertainment television channel and media platform known for broadcasting music, pop culture content, and major award shows such as The Headies.
-
B.
HGTV
HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
-
C.
DIY Network
DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
-
D.
HGTV Star
HGTV Star is a reality competition television series on HGTV in which aspiring designers showcase their skills to win professional design opportunities and on-air exposure.
-
E.
HGTV Design Star
HGTV Design Star is a reality competition television series on HGTV in which aspiring interior designers compete in design challenges for their own show on the network.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.