Triple

T1181605
Position Surface form Disambiguated ID Type / Status
Subject Alex Borstein E25148 entity
Predicate televisionSeries P3279 FINISHED
Object MADtv E135192 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: MADtv | Statement: [Alex Borstein, televisionSeries, MADtv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MADtv
Context triple: [Alex Borstein, televisionSeries, MADtv]
  • A. MADtv chosen
    MADtv is an American sketch comedy television series known for its ensemble cast, pop culture parodies, and long run on the Fox network from the mid-1990s into the 2000s.
  • B. Just for Laughs
    Just for Laughs is a major international comedy festival, best known for its stand-up performances, galas, and televised specials that showcase comedians from around the world.
  • C. Saturday Night Live
    Saturday Night Live is a long-running American late-night live television sketch comedy and variety show known for its satirical take on politics and pop culture.
  • D. Funny or Die
    Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
  • E. Rowan & Martin's Laugh-In
    Rowan & Martin's Laugh-In was a groundbreaking American sketch comedy television series from the late 1960s and early 1970s, known for its rapid-fire jokes, political satire, and psychedelic visual style.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd347d4481909e9094463011289d completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764827b881908cd2bb1e11e179f3 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.