Triple
T14850597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illustrations for "Le Morte d'Arthur" |
E349214
|
entity |
| Predicate | numberOfDecorativeDesigns |
P107904
|
FINISHED |
| Object | over 300 |
—
|
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: over 300 | Statement: [Illustrations for "Le Morte d'Arthur", numberOfDecorativeDesigns, over 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDecorativeDesigns Context triple: [Illustrations for "Le Morte d'Arthur", numberOfDecorativeDesigns, over 300]
-
A.
numberOfDesigns
chosen
Indicates the quantitative count of designs associated with a given entity or context.
-
B.
numberOfDecorativeJewels
Indicates the count of decorative jewels associated with or present on a given entity.
-
C.
decorativeComplexity
Indicates the degree or richness of ornamental detail or embellishment present in something.
-
D.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
E.
decorationShape
Indicates the geometric or visual form that a decorative element or ornament takes in relation to the object it adorns.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.