Triple
T11559660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3-Step Skin Care System |
E274107
|
entity |
| Predicate | step1Name |
P38737
|
FINISHED |
| Object | cleanse |
—
|
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: cleanse | Statement: [3-Step Skin Care System, step1Name, cleanse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: step1Name Context triple: [3-Step Skin Care System, step1Name, cleanse]
-
A.
firstStepIn
Indicates that one event, action, or process is the initial step in a larger sequence or procedure involving another.
-
B.
firstStageName
chosen
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
C.
stepTakes
Indicates that one step directly follows or is taken after another step in a process or sequence.
-
D.
keyStep
Indicates a crucial or essential step within a larger process, sequence, or procedure.
-
E.
stepReturns
Indicates that a particular step in a process or workflow yields, outputs, or hands back a specified result or value.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.