Triple
T3147574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syfy |
E65799
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Sci Fi Channel |
E65799
|
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: Sci Fi Channel | Statement: [Syfy, formerName, Sci Fi Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sci Fi Channel Context triple: [Syfy, formerName, Sci Fi Channel]
-
A.
Syfy
chosen
Syfy is an American cable television channel specializing in science fiction, fantasy, horror, and supernatural programming.
-
B.
Omni Television
Omni Television is a Canadian multilingual television network known for broadcasting programming in a wide range of languages to serve diverse ethnic communities.
-
C.
Discovery Channel
Discovery Channel is a global television network known for its documentaries and reality programming focused on science, technology, exploration, and the natural world.
-
D.
Science Channel
Science Channel is an American cable television network focused on science, technology, space, and exploration programming.
-
E.
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.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f53bbc81908416272cd48af69e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.