Triple

T37462663
Position Surface form Disambiguated ID Type / Status
Subject Elise the Trailblazer E930956 entity
Predicate shuffleEffect P187945 FINISHED
Object Shuffles Un'Goro Pack into your deck 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: Shuffles Un'Goro Pack into your deck | Statement: [Elise the Trailblazer, shuffleEffect, Shuffles Un'Goro Pack into your deck]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shuffleEffect
Context triple: [Elise the Trailblazer, shuffleEffect, Shuffles Un'Goro Pack into your deck]
  • A. showsEffect
    Indicates that one entity produces, demonstrates, or reveals a particular effect or outcome on another entity or context.
  • B. arrowEffect
    Indicates that one entity causes or produces a directional influence or outcome on another, similar to an arrow showing the effect from source to target.
  • C. displacementEffect
    Indicates that one entity’s presence, action, or introduction causes another entity to be moved, replaced, or rendered less prominent or effective.
  • D. spillEffect
    Indicates that one event, action, or condition produces secondary or indirect consequences that extend beyond its immediate scope.
  • E. projectionEffect
    Indicates the visual or spatial transformation produced when something is projected from one surface, medium, or viewpoint onto another.
  • F. None of above. chosen

Provenance (4 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_69fb92efc5948190a040ba2028bab964 completed May 6, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69fb8d0b52588190bb29937a43b99b5e completed May 6, 2026, 6:48 p.m.
PDg Predicate description generation batch_69fb92ee27408190b0116ef2d789abac completed May 6, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:17 p.m.