Triple

T22071473
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Vargas E545415 entity
Predicate employer P7 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: [Elizabeth Vargas, employer, A&E Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A&E Networks
Context triple: [Elizabeth Vargas, employer, 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12888dcc08190b18d3d44d09ab943 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.