Triple
T20140230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. America |
E491143
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | FX Networks |
—
|
NE NERFINISHED |
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: FX Networks | Statement: [Mrs. America, distributor, FX Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FX Networks Context triple: [Mrs. America, distributor, FX Networks]
-
A.
FX Networks
chosen
FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
-
B.
Fox Networks Group
Fox Networks Group was a global media company that operated and distributed a portfolio of television channels and related content brands worldwide.
-
C.
FOX
FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
-
D.
Paramount Network
Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
-
E.
Fox Channel
Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.