Triple

T8891463
Position Surface form Disambiguated ID Type / Status
Subject Back to the Future: The Animated Series E211685 entity
Predicate hasEducationalSegments P40345 FINISHED
Object science demonstrations 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: science demonstrations | Statement: [Back to the Future: The Animated Series, hasEducationalSegments, science demonstrations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalSegments
Context triple: [Back to the Future: The Animated Series, hasEducationalSegments, science demonstrations]
  • A. hasEducationalAudience
    Indicates that something is intended for or directed toward a specific educational audience or learner group.
  • B. hasEducationalFeature chosen
    Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
  • C. hasEducationalDimension
    Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
  • D. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • E. hasEducationalLink
    Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:54 p.m.