Triple

T33262367
Position Surface form Disambiguated ID Type / Status
Subject Jose Jalapeño on a Stick E851548 entity
Predicate comedySubgenre P15287 FINISHED
Object prop comedy 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: prop comedy | Statement: [Jose Jalapeño on a Stick, comedySubgenre, prop comedy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: comedySubgenre
Context triple: [Jose Jalapeño on a Stick, comedySubgenre, prop comedy]
  • A. genreOfComedy
    Indicates that something belongs to or is categorized within the comedy genre.
  • B. filmGenreParodied
    Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
  • C. hasComedyElements
    Indicates that something contains humorous or comedic aspects as part of its overall content or style.
  • D. isSilentComedy
    Indicates that the work is a comedy in which humor is conveyed without spoken dialogue, relying primarily on visual action and physical expression.
  • E. subgenre chosen
    Indicates that one genre is a more specific, subordinate category within a broader parent genre.
  • 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_69f349642dac81908a37ffcc3b976a55 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:32 a.m.