Triple
T37546053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moisture Surge 100H Auto-Replenishing Hydrator |
E933465
|
entity |
| Predicate | dermatologistTested |
P73863
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Moisture Surge 100H Auto-Replenishing Hydrator, dermatologistTested, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dermatologistTested Context triple: [Moisture Surge 100H Auto-Replenishing Hydrator, dermatologistTested, true]
-
A.
dermatologicallyTested
chosen
Indicates that a product has undergone testing on human skin under dermatological supervision to assess its safety or skin compatibility.
-
B.
isNonAllergenic
Indicates that something does not cause allergic reactions or is free from common allergens.
-
C.
cosmeticOnly
Indicates that the relationship or change affects only appearance or presentation, without altering underlying function or behavior.
-
D.
nonComedogenic
Indicates that a product or substance does not tend to clog pores or promote the formation of comedones (blackheads and whiteheads).
-
E.
coFormulatedWith
Indicates that one entity is formulated together with another as part of the same combined product or composition.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.