Triple
T24920755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tin Princess |
E624113
|
entity |
| Predicate | hasPoliticalPlotElement |
P97194
|
FINISHED |
| Object | court intrigue |
—
|
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: court intrigue | Statement: [The Tin Princess, hasPoliticalPlotElement, court intrigue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalPlotElement Context triple: [The Tin Princess, hasPoliticalPlotElement, court intrigue]
-
A.
hasPoliticalPlot
chosen
Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
-
B.
allegedPlots
Indicates that one entity is accused or suspected of planning or conspiring to carry out harmful or illicit actions involving another entity.
-
C.
partOfPlot
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
D.
hasNotableTraitInPlot
Indicates that a character or entity possesses a distinctive trait that plays a significant role within the narrative or plot.
-
E.
politicalRoleInPlot
Indicates that an entity holds a specific political function, position, or influence within the context of a particular plot or storyline.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:28 a.m.