Triple
T10536845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabel Williams |
E248587
|
entity |
| Predicate | usedProductType |
P92763
|
FINISHED |
| Object | homemade mascara |
—
|
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: homemade mascara | Statement: [Mabel Williams, usedProductType, homemade mascara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedProductType Context triple: [Mabel Williams, usedProductType, homemade mascara]
-
A.
usedItem
Indicates that an entity has utilized or employed a particular item for some purpose.
-
B.
usesProduct
chosen
Indicates that one entity makes use of, applies, or employs a particular product.
-
C.
categoryIUsedFor
Indicates that one entity is used as a category or classification label for another entity.
-
D.
usedInECommerce
Indicates that something is employed or applied within the context of electronic commerce activities or systems.
-
E.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a554fb4819081e9618bab051dc6 |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:31 p.m.