Triple
T4418385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvern |
E95034
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Malvern Theatres |
E314961
|
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: Malvern Theatres | Statement: [Malvern, hasLandmark, Malvern Theatres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvern Theatres Context triple: [Malvern, hasLandmark, Malvern Theatres]
-
A.
Malvern Theatres
chosen
Malvern Theatres is a prominent arts and entertainment complex in Great Malvern, England, known for hosting theatre, music, film, and other cultural events.
-
B.
Marcus Theatres
Marcus Theatres is a major American movie theater chain known for operating multiplex cinemas across the Midwest and other regions of the United States.
-
C.
Whittier Village Cinemas
Whittier Village Cinemas is a local movie theater complex serving as a popular entertainment hub in downtown Whittier, California.
-
D.
Edwards Theatres
Edwards Theatres is a regional American movie theater chain known for operating multiplex cinemas that later became part of the Regal Entertainment Group portfolio.
-
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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551e7c6c819090fa5dfb5ac58e4c |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f61fa6d88190b98810b542835817 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:29 p.m.