Triple
T19083164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Rosenkreuz |
E467078
|
entity |
| Predicate | coreThemeInLegend |
P100509
|
FINISHED |
| Object | spiritual and scientific reform of Europe |
—
|
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: spiritual and scientific reform of Europe | Statement: [Christian Rosenkreuz, coreThemeInLegend, spiritual and scientific reform of Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreThemeInLegend Context triple: [Christian Rosenkreuz, coreThemeInLegend, spiritual and scientific reform of Europe]
-
A.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
B.
indicatorTheme
Indicates that something serves as a thematic indicator or signal for a particular topic, concept, or condition.
-
C.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
-
D.
themeKey
chosen
Indicates that one entity serves as the primary subject, topic, or thematic focus associated with another entity.
-
E.
primaryLogoTheme
Indicates the main stylistic or visual design theme associated with a logo.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.