Triple

T2532549
Position Surface form Disambiguated ID Type / Status
Subject The Bugs Bunny Show E56193 entity
Predicate containsSegmentType P2563 FINISHED
Object theatrical cartoon shorts 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: theatrical cartoon shorts | Statement: [The Bugs Bunny Show, containsSegmentType, theatrical cartoon shorts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsSegmentType
Context triple: [The Bugs Bunny Show, containsSegmentType, theatrical cartoon shorts]
  • A. hasSegmentType chosen
    Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
  • B. typicalSegmentType
    Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
  • C. hasStageType
    Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
  • D. hasMemberType
    Indicates that an entity includes or is associated with members belonging to a specified type or category.
  • E. notableSegmentType
    Indicates that a particular segment or portion of something is classified as being of notable or special significance by its type.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.