Triple

T19737365
Position Surface form Disambiguated ID Type / Status
Subject Hearst family E474020 entity
Predicate owns P347 FINISHED
Object A&E Networks NE NERFINISHED

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: A&E Networks | Statement: [Hearst family, owns, A&E Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A&E Networks
Context triple: [Hearst family, owns, A&E Networks]
  • A. A&E Network
    A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
  • B. A+E Networks chosen
    A+E Networks is a global media company and television network group known for operating popular cable channels such as A&E, History, and Lifetime.
  • C. ABC Network
    ABC Network is a major American broadcast television network known for airing a wide range of popular entertainment, news, and sports programming nationwide.
  • D. Chesapeake Television
    Chesapeake Television is a regional broadcasting company established by American media entrepreneur Julian Sinclair Smith, known for operating local television stations.
  • E. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ea688819097b6838e6a3b3d4a completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.