Triple

T16007207
Position Surface form Disambiguated ID Type / Status
Subject Dan Abrams E388248 entity
Predicate employer P7 FINISHED
Object A&E Network E48017 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: A&E Network | Statement: [Dan Abrams, employer, A&E Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A&E Network
Context triple: [Dan Abrams, employer, A&E Network]
  • A. A&E Network chosen
    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. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • C. Chesapeake Television
    Chesapeake Television is a regional broadcasting company established by American media entrepreneur Julian Sinclair Smith, known for operating local television stations.
  • D. Paramount Network
    Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
  • E. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800246c8190a298c5f96478c396 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf20c5348190b42c2e01e8ef5ea8 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.