Triple
T12499000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Schrader |
E298766
|
entity |
| Predicate | wardrobeColorScheme |
P98988
|
FINISHED |
| Object | purple |
—
|
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: purple | Statement: [Marie Schrader, wardrobeColorScheme, purple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardrobeColorScheme Context triple: [Marie Schrader, wardrobeColorScheme, purple]
-
A.
wardrobeColorTheme
chosen
Indicates that there is a relationship specifying the dominant or intended color scheme used for a wardrobe.
-
B.
colorOfApparel
Indicates the specific color attribute associated with a piece of apparel or clothing item.
-
C.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
D.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
E.
styleCombination
Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.