Triple
T20141054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velvet Buzzsaw |
E491164
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Zawe Ashton |
—
|
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: Zawe Ashton | Statement: [Velvet Buzzsaw, stars, Zawe Ashton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zawe Ashton Context triple: [Velvet Buzzsaw, stars, Zawe Ashton]
-
A.
Zawe Ashton
chosen
Zawe Ashton is a British actress, playwright, and director known for her work in film, television, and theatre, including roles in projects like "Fresh Meat" and "Velvet Buzzsaw."
-
B.
Daniela Denby-Ashe
Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
-
C.
Tamara Goff
Tamara Goff is known primarily as the spouse of Australian-born screenwriter Ivan Goff, co-creator of the television series "Charlie's Angels."
-
D.
Jennifer Ashton
Jennifer Ashton is an American physician and television medical correspondent best known as the chief medical correspondent for ABC News.
-
E.
Ashley Scott
Ashley Scott is an American actress and former model best known for her roles in films like "Into the Blue" and TV series such as "Birds of Prey" and "Jericho."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.