Triple

T16341658
Position Surface form Disambiguated ID Type / Status
Subject Hannibal Buress E396819 entity
Predicate employer P7 FINISHED
Object Adult Swim E101335 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: Adult Swim | Statement: [Hannibal Buress, employer, Adult Swim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adult Swim
Context triple: [Hannibal Buress, employer, Adult Swim]
  • A. Adult Swim chosen
    Adult Swim is a late-night programming block known for its offbeat, adult-oriented animated and live-action shows, airing on the Cartoon Network channel.
  • B. Cartoon Network
    Cartoon Network is an American cable television channel known for airing animated series and original cartoons for children and young audiences.
  • C. MTV Animation
    MTV Animation was the in-house animation studio of MTV responsible for producing many of the network’s iconic adult-oriented animated series in the 1990s and early 2000s.
  • D. Cartoonito
    Cartoonito is a preschool-focused programming block featuring educational and age-appropriate animated content for young children.
  • E. Nickelodeon
    Nickelodeon is a 1976 comedy film about the chaotic early days of the silent movie industry, directed by Peter Bogdanovich and starring Ryan O’Neal, Burt Reynolds, and Tatum O’Neal.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.