Triple
T17105758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Designer Outlet |
E415094
|
entity |
| Predicate | hasCinemaBrand |
P67912
|
FINISHED |
| Object | Cineworld |
E53486
|
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: Cineworld | Statement: [London Designer Outlet, hasCinemaBrand, Cineworld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cineworld Context triple: [London Designer Outlet, hasCinemaBrand, Cineworld]
-
A.
Cineworld cinema
Cineworld cinema is a major UK multiplex cinema chain offering mainstream film screenings and entertainment facilities.
-
B.
Cineworld Group
chosen
Cineworld Group is a British-based multinational cinema chain operator that became one of the world’s largest theater companies following its acquisition of Regal Entertainment Group.
-
C.
Odeon Cinemas
Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
-
D.
Cineplex Cinemas
Cineplex Cinemas is a major Canadian movie theatre chain offering multiplex cinema experiences with multiple screens, concessions, and modern film presentation technologies.
-
E.
Cinemark Theatres
Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2683fc81908af2df9012addecb |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a019540819083ce6100b24f8cfb |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.