Triple
T11542912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston |
E273715
|
entity |
| Predicate | loreTheme |
P7671
|
FINISHED |
| Object | science and heroism |
—
|
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: science and heroism | Statement: [Winston, loreTheme, science and heroism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loreTheme Context triple: [Winston, loreTheme, science and heroism]
-
A.
areaTheme
Indicates that a particular theme, topic, or subject is associated with or characterizes a given area or region.
-
B.
heritageTheme
Indicates that something is associated with, represents, or is categorized under a particular cultural or historical heritage theme.
-
C.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
D.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
E.
notableTheme
chosen
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.