Triple
T34547116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polaroid photography |
E886955
|
entity |
| Predicate | firstCameraModel |
—
|
GENERATED |
| Object | Polaroid Land Camera Model 95 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCameraModel Context triple: [Polaroid photography, firstCameraModel, Polaroid Land Camera Model 95]
-
A.
firstCameraBody
Indicates that one camera body is the initial or primary camera body associated with a given photographer, setup, or camera system.
-
B.
firstConsumerCameraRelease
Indicates the event or date when a camera model was first released to the consumer market.
-
C.
firstModel
chosen
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
D.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
-
E.
tipoDeCámara
Indicates the specific type or category of camera associated with an entity.
- F. None of above.
Provenance (1 batch)
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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.