Triple
T19745420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonraker space shuttle program |
E474235
|
entity |
| Predicate | partOfPlotDevice |
P103369
|
FINISHED |
| Object | villain master plan |
—
|
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: villain master plan | Statement: [Moonraker space shuttle program, partOfPlotDevice, villain master plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPlotDevice Context triple: [Moonraker space shuttle program, partOfPlotDevice, villain master plan]
-
A.
partOfPlot
chosen
Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
-
B.
centralPlotDevice
Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
-
C.
majorPlotPoint
Indicates that an event or development plays a central, pivotal role in the overall progression or outcome of the plot.
-
D.
hasPoliticalPlot
Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
-
E.
taskInPlot
Indicates that a specific task occurs within, is associated with, or is part 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.