Triple
T20741690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farscape |
E510456
|
entity |
| Predicate | originalChannel |
P2595
|
FINISHED |
| Object | Sci Fi Channel |
—
|
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: Sci Fi Channel | Statement: [Farscape, originalChannel, Sci Fi Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sci Fi Channel Context triple: [Farscape, originalChannel, Sci Fi Channel]
-
A.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
B.
CTV Sci-Fi Channel
CTV Sci-Fi Channel is a Canadian specialty television network dedicated to science fiction, fantasy, and genre programming, owned by Bell Media.
-
C.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
-
D.
Syfy
chosen
Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
-
E.
Santa Fe Channel
Santa Fe Channel is a waterfront industrial and maritime waterway located along the shoreline of Point Richmond in Richmond, California.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20f9670819082199de21a8d9818 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.