Triple

T32645729
Position Surface form Disambiguated ID Type / Status
Subject Kaa (Disney) E834590 entity
Predicate differenceFromSourceMaterial P57180 FINISHED
Object portrayed as villain instead of ally 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: portrayed as villain instead of ally | Statement: [Kaa (Disney), differenceFromSourceMaterial, portrayed as villain instead of ally]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differenceFromSourceMaterial
Context triple: [Kaa (Disney), differenceFromSourceMaterial, portrayed as villain instead of ally]
  • A. differsFromSourceMaterial chosen
    Indicates that something has been altered or deviates in some way from its original or reference source material.
  • B. hasSourceMaterial
    Indicates that something is derived from, based on, or created using a particular source material.
  • C. materialSource
    Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
  • D. designDifferenceFrom
    Indicates a relationship where one design is distinguished from another by specific differing features, characteristics, or structure.
  • E. sourceMaterialType
    Indicates the type or category of material from which something originates or is derived.
  • 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d16f5cb881908eed141afaaa0b51 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:07 a.m.