Triple

T10394558
Position Surface form Disambiguated ID Type / Status
Subject Evil (TV series episodes) E244977 entity
Predicate featuresCharacterDynamic P662 FINISHED
Object conflict between belief and skepticism 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: conflict between belief and skepticism | Statement: [Evil (TV series episodes), featuresCharacterDynamic, conflict between belief and skepticism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresCharacterDynamic
Context triple: [Evil (TV series episodes), featuresCharacterDynamic, conflict between belief and skepticism]
  • A. featuresCharacterRole
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • B. featuresCharactersFrom
    Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
  • C. projectCharacteristics
    Indicates the defining features, qualities, or attributes that characterize a particular project.
  • D. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • E. featuresReturnOf
    Indicates that something (such as a work, event, or product) includes or highlights the comeback or reappearance of a person, character, element, or feature.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b795fc8190aa50ce3c7360ff83 completed April 7, 2026, 11:25 a.m.
PD Predicate disambiguation batch_69d4dfb438c481908dff87c47de2f069 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:06 p.m.