Triple

T13486643
Position Surface form Disambiguated ID Type / Status
Subject Brockmire E318520 entity
Predicate basedOn P98 FINISHED
Object Funny or Die short E76742 NE 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: Funny or Die short | Statement: [Brockmire, basedOn, Funny or Die short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny or Die short
Context triple: [Brockmire, basedOn, Funny or Die short]
  • A. Funny or Die chosen
    Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
  • B. Shorts
    Shorts is a surname shared by various individuals, including American football player Cecil Shorts III.
  • C. Saturday Night Live digital shorts
    Saturday Night Live digital shorts are a series of comedic short films, often musical and absurdist, that became a breakout highlight of SNL in the 2000s and 2010s, popularizing viral sketches like "Lazy Sunday" and "Dick in a Box."
  • D. YouTube Shorts
    YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
  • E. Digital Short
    Digital Short is a series of pre-recorded comedic video segments that became a signature part of Saturday Night Live, often featuring experimental sketches, music videos, and celebrity cameos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.