Triple
T11941694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodachrome |
E284192
|
entity |
| Predicate | imageStability |
P7806
|
FINISHED |
| Object | high archival stability |
—
|
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: high archival stability | Statement: [Kodachrome, imageStability, high archival stability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageStability Context triple: [Kodachrome, imageStability, high archival stability]
-
A.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
-
B.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
C.
isStable
chosen
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
-
D.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
E.
usesImagery
Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
- 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_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. |
Created at: April 8, 2026, 9:45 p.m.