Triple
T21481898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansco Color |
E530012
|
entity |
| Predicate | imageCapture |
P64243
|
FINISHED |
| Object | single-strip camera negative |
—
|
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-strip camera negative | Statement: [Ansco Color, imageCapture, single-strip camera negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageCapture Context triple: [Ansco Color, imageCapture, single-strip camera negative]
-
A.
captureType
Indicates the manner or method by which something is captured, recorded, or acquired in the context of the relationship.
-
B.
capturedUsing
chosen
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
C.
cameraSystem
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging system.
-
D.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
E.
cameraConfiguration
Indicates the specific setup or arrangement of a camera’s parameters or components in a given 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:21 p.m.