Triple

T14874572
Position Surface form Disambiguated ID Type / Status
Subject Heroes & Icons E349831 entity
Predicate hasSisterNetwork P6991 FINISHED
Object MeTV E349826 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: MeTV | Statement: [Heroes & Icons, hasSisterNetwork, MeTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MeTV
Context triple: [Heroes & Icons, hasSisterNetwork, MeTV]
  • A. MeTV chosen
    MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
  • B. Nick at Nite
    Nick at Nite is an American nighttime programming block known for airing classic and syndicated sitcoms on the Nickelodeon channel.
  • C. TV Land
    TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
  • D. MADtv
    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.
  • E. Mr. Television
    Mr. Television is the nickname of Milton Berle, a pioneering American comedian and actor who became one of the first major stars of early television.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.