Triple
T1005834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CinemaScope |
E21708
|
entity |
| Predicate | captureType |
P21736
|
FINISHED |
| Object | anamorphic photography |
—
|
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 photography | Statement: [CinemaScope, captureType, anamorphic photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captureType Context triple: [CinemaScope, captureType, anamorphic photography]
-
A.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
B.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
C.
scanType
Indicates the specific kind or category of scanning operation performed or required in a given context.
-
D.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
E.
cameraStyle
Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.