Triple
T15949893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary |
E386786
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | Movie Central |
E1086569
|
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: Movie Central | Statement: [Sanctuary, originalNetwork, Movie Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Movie Central Context triple: [Sanctuary, originalNetwork, Movie Central]
-
A.
Movie Central
chosen
Movie Central was a Canadian premium television channel that specialized in airing movies and high-profile television series.
-
B.
Reel Mall
Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
-
C.
Reel Cinemas
Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
-
D.
Ústřední půjčovna filmů
Ústřední půjčovna filmů was a state-run Czechoslovak film distribution company responsible for circulating domestic and foreign films in the socialist era.
-
E.
Main Street Cinema
Main Street Cinema is a nostalgic, early-20th-century-style movie theater attraction in Disney theme parks that typically showcases classic Disney cartoons and film clips.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe78a76481909622d7a2443cba4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.