Triple
T35668753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stéphanie de Vandières |
E1030649
|
entity |
| Predicate | fictionalHistoricalContext |
P20933
|
FINISHED |
| Object | Napoleonic Wars |
—
|
NE NERFINISHED |
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: Napoleonic Wars | Statement: [Stéphanie de Vandières, fictionalHistoricalContext, Napoleonic Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalHistoricalContext Context triple: [Stéphanie de Vandières, fictionalHistoricalContext, Napoleonic Wars]
-
A.
fictionalHistoryFeature
chosen
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
-
B.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
C.
historicalNarrative
Indicates that one entity presents or constitutes a story or account about past events involving another entity.
-
D.
historicalContextOfWriting
Indicates that one entity provides the historical circumstances, period, or background in which another entity (typically a text or document) was written.
-
E.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:05 p.m.