Triple

T29654967
Position Surface form Disambiguated ID Type / Status
Subject Immortal E750239 entity
Predicate BarrierEffect P85838 FINISHED
Object absorbs incoming damage 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: absorbs incoming damage | Statement: [Immortal, BarrierEffect, absorbs incoming damage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BarrierEffect
Context triple: [Immortal, BarrierEffect, absorbs incoming damage]
  • A. attackEffect
    Indicates that one entity’s attack produces a specific effect or consequence on another entity.
  • B. tierEffect
    Indicates how belonging to a particular tier influences or modifies the outcome, behavior, or properties associated with that tier.
  • C. isBarrierTo chosen
    Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
  • D. hasDifficultyEffect
    Indicates that one entity causes a change in the difficulty level or challenge associated with another entity or activity.
  • E. tailAttackEffect
    Indicates an effect that occurs when an entity performs an attack using its tail.
  • 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_69f0d6226fe881908819197c9ef9ee04 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f66f274ba08190bcdbdfeccf4af09d completed May 2, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 6:54 p.m.