Triple

T14260636
Position Surface form Disambiguated ID Type / Status
Subject Jaywalking E353505 entity
Predicate usesHumorTechnique P14479 FINISHED
Object contrast between obvious questions and wrong answers 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: contrast between obvious questions and wrong answers | Statement: [Jaywalking, usesHumorTechnique, contrast between obvious questions and wrong answers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesHumorTechnique
Context triple: [Jaywalking, usesHumorTechnique, contrast between obvious questions and wrong answers]
  • A. usesHumorAsDefense
    Indicates that an entity habitually employs humor or joking behavior to cope with, deflect, or protect themselves from emotional discomfort, stress, or vulnerability.
  • B. hasDramaticTechnique
    Indicates that one entity employs, features, or is characterized by a particular dramatic technique associated with another entity.
  • C. hasHumorType chosen
    Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
  • D. humorSetting
    Indicates a relationship where one entity specifies or controls the level, style, or presence of humor applied to another entity or context.
  • E. hasHumorousTreatmentOf
    Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de635534988190816fdfb315cd2a3f completed April 14, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:09 a.m.