Triple
T5071428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyts |
E114288
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Hoyts Cinemas |
E114288
|
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: Hoyts Cinemas | Statement: [Hoyts, hasSubsidiary, Hoyts Cinemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoyts Cinemas Context triple: [Hoyts, hasSubsidiary, Hoyts Cinemas]
-
A.
Hoyts
chosen
Hoyts is a major Australian cinema chain and film distribution company known for operating numerous movie theatres across Australia and New Zealand.
-
B.
Odeon Cinemas
Odeon Cinemas is a major British and European cinema chain known for operating numerous multiplex movie theaters across the UK and beyond.
-
C.
Picturehouse Cinemas
Picturehouse Cinemas is a UK-based chain of boutique cinemas known for screening a mix of independent, arthouse, and mainstream films in distinctive, often historic venues.
-
D.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
E.
Showcase Cinemas
Showcase Cinemas is a major cinema chain known for operating multiplex movie theaters, including its premium Cinema de Lux locations.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74ce140881909a2874663244c0db |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1110a388190a5db1c94b3d60d6b |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.