Triple
T7659415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop |
E173465
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | TVGN |
E98192
|
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: TVGN | Statement: [Pop, formerName, TVGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVGN Context triple: [Pop, formerName, TVGN]
-
A.
WGN America
chosen
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
B.
TV One
TV One is an American cable television network that primarily targets African American audiences with a mix of original series, movies, and lifestyle programming.
-
C.
TV Land
TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
-
D.
TNT network
TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
-
E.
A&E Network
A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 3:59 p.m.