Triple
T35145641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tootie Ramsey |
E1014822
|
entity |
| Predicate | wardrobeTrait |
P19025
|
FINISHED |
| Object | roller skates |
—
|
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: roller skates | Statement: [Tootie Ramsey, wardrobeTrait, roller skates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardrobeTrait Context triple: [Tootie Ramsey, wardrobeTrait, roller skates]
-
A.
wardrobeFeature
chosen
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
B.
wardrobeChangeBy
Indicates a relationship where one entity causes or performs a change of wardrobe or clothing for another entity.
-
C.
wardrobeChange
Indicates a change in what someone is wearing, such as switching outfits or clothing styles.
-
D.
wardrobeColorTheme
Indicates that there is a relationship specifying the dominant or intended color scheme used for a wardrobe.
-
E.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78caef6448190895972bdebbbc62e |
completed | May 3, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.