Triple
T22678154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Eaves |
E560402
|
entity |
| Predicate | kerningStyle |
P20701
|
FINISHED |
| Object | loose letterspacing |
—
|
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: loose letterspacing | Statement: [Mrs Eaves, kerningStyle, loose letterspacing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kerningStyle Context triple: [Mrs Eaves, kerningStyle, loose letterspacing]
-
A.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
-
B.
compositionStyle
Indicates the characteristic manner or approach in which something is composed, such as its structural, aesthetic, or stylistic conventions.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
stylingFeature
chosen
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
E.
styleFamily
Indicates that one style is grouped within the same stylistic family or category as another style.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.