Triple
T5607052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dermablend |
E147258
|
entity |
| Predicate | testing |
P5348
|
FINISHED |
| Object | dermatologist-tested products |
—
|
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: dermatologist-tested products | Statement: [Dermablend, testing, dermatologist-tested products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testing Context triple: [Dermablend, testing, dermatologist-tested products]
-
A.
tests
chosen
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
B.
testingLevel
Indicates the degree or intensity to which something is examined, evaluated, or tested.
-
C.
testPilot
Indicates that an entity serves as a pilot responsible for testing and evaluating aircraft or related flight systems.
-
D.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
-
E.
testType
Indicates the specific category or kind of test associated with an entity or event.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fbb8748190841e5e09db3feef1 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.