Triple
T11941628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak Brownie camera |
E284191
|
entity |
| Predicate | shutterSpeed |
P102380
|
FINISHED |
| Object | single fixed speed |
—
|
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: single fixed speed | Statement: [Kodak Brownie camera, shutterSpeed, single fixed speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shutterSpeed Context triple: [Kodak Brownie camera, shutterSpeed, single fixed speed]
-
A.
maximumShutterSpeed
Indicates the highest shutter speed value that can be set or achieved in a given photographic or imaging context.
-
B.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
-
C.
flashSyncSpeedElectronic
Indicates the maximum shutter speed at which an electronic shutter can synchronize properly with a flash.
-
D.
flashSyncSpeedMechanical
Indicates the maximum shutter speed at which a mechanical shutter can synchronize properly with a flash.
-
E.
postShutterCaptureSeconds
Indicates the amount of time, in seconds, that has elapsed after the shutter is triggered to capture an image or measurement.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.