Triple
T37718517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss America (Madeline Joyce) |
E939518
|
entity |
| Predicate | inspirationTheme |
P61406
|
FINISHED |
| Object | American patriotism |
—
|
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: American patriotism | Statement: [Miss America (Madeline Joyce), inspirationTheme, American patriotism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspirationTheme Context triple: [Miss America (Madeline Joyce), inspirationTheme, American patriotism]
-
A.
themeInspiration
chosen
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
B.
motivationalTheme
Indicates a recurring motivational idea, message, or emotional driver that underlies or inspires an entity’s actions or presentation.
-
C.
settingInspiration
Indicates that one entity serves as the creative or motivational source for the setting or environment of another entity.
-
D.
illuminationTheme
Indicates a relationship where one entity serves as the lighting or illumination style/theme applied to another entity.
-
E.
inspirationConcept
Indicates that one concept serves as a source of inspiration or creative influence for another concept.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:18 p.m.