Triple
T17662772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOX Cinemas Mall of the Emirates |
E440293
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | VOX Cinemas |
E1281630
|
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: VOX Cinemas | Statement: [VOX Cinemas Mall of the Emirates, brand, VOX Cinemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOX Cinemas Context triple: [VOX Cinemas Mall of the Emirates, brand, VOX Cinemas]
-
A.
VOX Cinemas
chosen
VOX Cinemas is a major cinema chain in the Middle East known for operating multiplex theaters with premium and immersive movie experiences across numerous shopping malls.
-
B.
Rave Cinemas
Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
-
C.
Village Cinemas
Village Cinemas is an Australian-based cinema chain known for operating multiplex movie theatres and premium cinema experiences in Australia and several international markets.
-
D.
Reel Cinemas
Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
-
E.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02232075b48190a3defc74027b775e |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 9:51 a.m.