Triple
T18643945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Daily Beast |
E455756
|
entity |
| Predicate | founder |
P104
|
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, founder, Tina Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Brown Context triple: [The Daily Beast, founder, 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.