Triple

T9281025
Position Surface form Disambiguated ID Type / Status
Subject Moment of Zen E223065 entity
Predicate followsSegmentType P2563 FINISHED
Object final jokes or sign-off of The Daily Show host — 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: final jokes or sign-off of The Daily Show host | Statement: [Moment of Zen, followsSegmentType, final jokes or sign-off of The Daily Show host]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsSegmentType
Context triple: [Moment of Zen, followsSegmentType, final jokes or sign-off of The Daily Show host]
  • A. followsElementType
    Indicates that one element type comes directly after another element type in a defined order or sequence.
  • B. 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.
  • C. followsCharacterType
    Indicates that one character’s behavior, role, or traits are patterned after, derived from, or constrained by a specified character type.
  • D. followsPlanType
    Indicates that one entity adheres to, or is carried out according to, a specified type of plan.
  • E. followsSect
    Indicates that one entity adheres to, practices, or is a member of a particular sect associated with another entity.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cd9a1c8190af0521baa428ce10 completed April 1, 2026, 11:55 a.m.
PD Predicate disambiguation batch_69cc7a576ec88190bbb787eb82e2e539 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:34 p.m.