Triple
T28584026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna theme |
E723443
|
entity |
| Predicate | usesDefaultFont |
P64886
|
FINISHED |
| Object | Tahoma |
—
|
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: Tahoma | Statement: [Luna theme, usesDefaultFont, Tahoma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDefaultFont Context triple: [Luna theme, usesDefaultFont, Tahoma]
-
A.
defaultFontOf
Indicates that one entity is the standard or fallback font used for rendering text in another entity (such as a document, style, or interface element).
-
B.
supportsParentFont
Indicates that an entity provides or maintains compatibility with the font used by its parent entity.
-
C.
typicalFontSupport
Indicates that one entity (such as a system, application, or platform) normally includes or provides support for a particular font or set of fonts under standard conditions.
-
D.
isDefaultFor
chosen
Indicates that something serves as the standard or fallback option that is automatically applied or selected for a given entity or context unless another choice is explicitly specified.
-
E.
hasCalligraphy
Indicates that an entity possesses or is associated with calligraphy, such as having calligraphic writing, decoration, or stylistic features.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 4:16 a.m.