Triple
T37456929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexxar (Mage skin in some modes) |
E930822
|
entity |
| Predicate | cosmeticOnly |
P187867
|
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: [Rexxar (Mage skin in some modes), cosmeticOnly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cosmeticOnly Context triple: [Rexxar (Mage skin in some modes), cosmeticOnly, true]
-
A.
cosmeticCategory
Indicates that one entity is classified as belonging to a particular cosmetic or beauty product category defined by the other entity.
-
B.
includesCosmetics
Indicates that one entity contains or encompasses cosmetic products or items as part of its contents or offerings.
-
C.
cosmeticsTheme
Indicates that something is related to or characterized by a cosmetics-related theme, style, or subject matter.
-
D.
nonComedogenic
Indicates that a product or substance does not tend to clog pores or promote the formation of comedones (blackheads and whiteheads).
-
E.
makeupType
Indicates the specific kind or category of makeup associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.