Triple
T5111790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolores Umbridge |
E115228
|
entity |
| Predicate | officeDecor |
P8228
|
FINISHED |
| Object | Plates with moving kittens |
—
|
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: Plates with moving kittens | Statement: [Dolores Umbridge, officeDecor, Plates with moving kittens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeDecor Context triple: [Dolores Umbridge, officeDecor, Plates with moving kittens]
-
A.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
B.
decorations
chosen
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
furniture
Indicates that one entity is a piece of furniture associated with, located in, or used by another entity.
-
D.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
E.
throneDecoration
Indicates that one entity serves as a decorative element or ornamentation for a throne associated with 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ca57e881908242def2a032902e |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.