Triple
T10598767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viacom |
E275686
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | AwesomenessTV |
E459874
|
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: AwesomenessTV | Statement: [Viacom, owns, AwesomenessTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AwesomenessTV Context triple: [Viacom, owns, AwesomenessTV]
-
A.
AwesomenessTV
chosen
AwesomenessTV is a digital media and entertainment company known for producing youth-oriented online content, films, and television series.
-
B.
Bounce TV
Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
-
C.
Viceland
Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
-
D.
Funny or Die
Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
-
E.
Defy TV
Defy TV is a U.S. digital multicast television network focused on reality-based, action-oriented, and unscripted programming aimed primarily at male audiences.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded358248190ba9268a51b2805fc |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e9c1a7c8190a91ad479518e411f |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:30 p.m.