Triple

T18643978
Position Surface form Disambiguated ID Type / Status
Subject The Daily Beast E455756 entity
Predicate hasEditorInChief P19440 FINISHED
Object Tina Brown 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: Tina Brown | Statement: [The Daily Beast, hasEditorInChief, Tina Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tina Brown
Context triple: [The Daily Beast, hasEditorInChief, Tina Brown]
  • A. Tina Brown chosen
    Tina Brown is an American magazine editor, journalist, and author best known for revitalizing publications such as Vanity Fair and The New Yorker.
  • B. Sally Quinn
    Sally Quinn is an American journalist, author, and longtime Washington Post writer known for her coverage of Washington society and politics.
  • C. Liz Smith
    Liz Smith was a beloved English character actress known for her comic roles in British television and film, including her work on the sitcom "The Vicar of Dibley."
  • D. Barbara Novak
    Barbara Novak is the ambitious, feminist advice author and romantic lead portrayed by Renée Zellweger in the 1960s-set romantic comedy film "Down with Love."
  • E. Helen Gurley Brown
    Helen Gurley Brown was an influential American author, editor, and longtime editor-in-chief of Cosmopolitan magazine, known for her pioneering work in the sexual revolution and modern feminism.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.