Triple
T14723128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Station |
E345863
|
entity |
| Predicate | originallyBroadcastBy |
P4409
|
FINISHED |
| Object | Epix |
E596388
|
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: Epix | Statement: [Berlin Station, originallyBroadcastBy, Epix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epix Context triple: [Berlin Station, originallyBroadcastBy, Epix]
-
A.
Epix
chosen
Epix was a premium American cable and streaming television network known for airing recent Hollywood films, original series, and specials before being rebranded as MGM+.
-
B.
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.
-
C.
Cinemax
Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
-
D.
Maverick Television
Maverick Television is a British television production company known for creating popular factual and entertainment programming.
-
E.
Acorn TV
Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8624bc8190b20441c2f5c4a2fa |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.