Triple
T3996403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FX Networks |
E87107
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | FXX |
E74395
|
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: FXX | Statement: [FX Networks, sisterChannel, FXX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FXX Context triple: [FX Networks, sisterChannel, FXX]
-
A.
FXX
chosen
FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
-
B.
Comedy Central
Comedy Central is an American cable television channel known for its stand-up specials, sketch shows, and satirical series such as The Daily Show and South Park.
-
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.
Showtime
Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports programming.
-
E.
FX Networks
FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:34 p.m.