Triple
T19562832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mann Theatres |
E489498
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | National General Theatres |
—
|
NE NERFINISHED |
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: National General Theatres | Statement: [Mann Theatres, acquired, National General Theatres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National General Theatres Context triple: [Mann Theatres, acquired, National General Theatres]
-
A.
National General Theatres
chosen
National General Theatres was a former American movie theater chain that operated cinemas across the United States in the mid-20th century.
-
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.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
D.
Regency Theatres
Regency Theatres is a regional movie theater chain in the United States known for operating neighborhood cinemas and historic venues like the Fox Village Theatre.
-
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 (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.