Triple

T16750930
Position Surface form Disambiguated ID Type / Status
Subject Olivia Cooke E407073 entity
Predicate employer P7 FINISHED
Object A&E (TV 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 (TV network) | Statement: [Olivia Cooke, employer, A&E (TV network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A&E (TV network)
Context triple: [Olivia Cooke, employer, A&E (TV 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. TNT network
    TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
  • E. Bravo (TV network)
    Bravo is an American cable television network best known for its reality programming and pop-culture-focused series such as the Real Housewives franchise and Top Chef.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52402848190b029cb0be31b4c74 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.