Triple
T6221753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gem Theatre (Kannapolis) |
E139131
|
entity |
| Predicate | screenCount |
P2426
|
FINISHED |
| Object | 1 |
—
|
LITERAL 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: 1 | Statement: [Gem Theatre (Kannapolis), screenCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenCount Context triple: [Gem Theatre (Kannapolis), screenCount, 1]
-
A.
hasNumberOfScreens
chosen
Indicates the quantity of screens associated with or contained in a given entity.
-
B.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
C.
tabletCount
Indicates the number of tablets associated with or allocated to a given entity or context.
-
D.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
E.
mirrorCount
Indicates the number of mirrors associated with or present in relation to a given entity or context.
- F. None of above.
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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062bddb688190add53172a7445d01 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.