Triple
T37461296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shifter Zerus |
E930922
|
entity |
| Predicate | randomEffect |
P149868
|
FINISHED |
| Object | Transforms into a random minion card |
—
|
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: Transforms into a random minion card | Statement: [Shifter Zerus, randomEffect, Transforms into a random minion card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: randomEffect Context triple: [Shifter Zerus, randomEffect, Transforms into a random minion card]
-
A.
spatialEffect
Indicates a spatial relationship where one entity affects or alters the position, arrangement, or spatial properties of another.
-
B.
introducesRandomnessIn
chosen
Indicates that something adds an element of unpredictability or variability into another process, system, or outcome.
-
C.
shuffleEffect
Indicates an effect that randomly reorders the elements or positions within a given set, sequence, or collection.
-
D.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
E.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.