Triple
T11941693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodachrome |
E284192
|
entity |
| Predicate | processingChemistry |
P20864
|
FINISHED |
| Object | K-14 color development sequence |
—
|
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: K-14 color development sequence | Statement: [Kodachrome, processingChemistry, K-14 color development sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processingChemistry Context triple: [Kodachrome, processingChemistry, K-14 color development sequence]
-
A.
commonChemistry
Indicates that two entities share similar or related chemical properties, composition, or behavior.
-
B.
chemicalComponent
Indicates that one entity is a constituent chemical part or ingredient of another entity.
-
C.
keyChemicalDiscussed
Indicates that a particular chemical substance is a central topic of discussion in a given context or communication.
-
D.
usedInChemistry
chosen
Indicates that something is employed or applied within the context of chemistry, such as in chemical processes, experiments, or analyses.
-
E.
onScreenChemistryWith
Indicates a strong, noticeable dynamic or rapport between two performers when they appear together on screen.
- 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.