Triple

T38593380
Position Surface form Disambiguated ID Type / Status
Subject Caduceus Blaster E932504 entity
Predicate hasAlternateSkins P186760 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: [Caduceus Blaster, hasAlternateSkins, True]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternateSkins
Context triple: [Caduceus Blaster, hasAlternateSkins, True]
  • A. hasSkin
    Indicates that one entity possesses skin as a covering or outer tissue layer.
  • B. hasAlternativeSurface
    Indicates that one entity serves as a different or substitute surface option for another entity.
  • C. hasSkinName chosen
    Indicates that an entity is associated with a specific skin or cosmetic appearance identified by a name.
  • D. hasDifferentDesignsFor
    Indicates that one entity provides or uses multiple distinct designs tailored for different other entities or contexts.
  • E. hasAlternativeProfile
    Indicates that an entity is associated with another profile that serves as an alternative or secondary representation of it.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69feaa483fcc81909d8a46b38a8717bf completed May 9, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69fea8c9d45c81908ccc8619e5fefac1 completed May 9, 2026, 3:23 a.m.
Created at: May 3, 2026, 4:32 p.m.