Triple

T37459112
Position Surface form Disambiguated ID Type / Status
Subject Lightbomb E930872 entity
Predicate canDamageStealthedMinions P187901 FINISHED
Object true 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: true | Statement: [Lightbomb, canDamageStealthedMinions, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canDamageStealthedMinions
Context triple: [Lightbomb, canDamageStealthedMinions, true]
  • A. hasProtectiveMagic
    Indicates that one entity provides or is endowed with magical protection in relation to another entity or context.
  • B. cannotBeDamagedBy
    Indicates that one entity is immune to harm, injury, or degradation caused by another specified entity or factor.
  • C. canBecomeInvisible
    Indicates the ability of an entity to transition from being visible to being unseen or undetectable.
  • D. hasAttack
    Indicates that one entity performs, possesses, or is associated with an attack directed toward another entity.
  • E. canTarget
    Indicates that one entity is able or permitted to select, aim at, or direct its action or effect toward another entity as a target.
  • 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.