Triple
T1005833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CinemaScope |
E21708
|
entity |
| Predicate | projectionType |
P7148
|
FINISHED |
| Object | anamorphic projection |
—
|
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: anamorphic projection | Statement: [CinemaScope, projectionType, anamorphic projection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectionType Context triple: [CinemaScope, projectionType, anamorphic projection]
-
A.
mapProjection
Indicates the specific method or transformation used to represent locations from the curved surface of the Earth onto a flat map.
-
B.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
-
C.
displayType
chosen
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to another entity.
-
E.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.