Triple
T2550077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikkit Gate |
E56602
|
entity |
| Predicate | purposeInPlot |
P21187
|
FINISHED |
| Object | part of a scheme to destroy the universe |
—
|
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: part of a scheme to destroy the universe | Statement: [Wikkit Gate, purposeInPlot, part of a scheme to destroy the universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeInPlot Context triple: [Wikkit Gate, purposeInPlot, part of a scheme to destroy the universe]
-
A.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
B.
depictionPurpose
Indicates that one entity is depicted specifically for the purpose or function it serves in relation to another entity.
-
C.
centralPlotDevice
chosen
Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
-
D.
literaryPurpose
Indicates the intended function, effect, or communicative goal that a text or passage is meant to achieve within a literary context.
-
E.
plotInvolvement
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.