Triple
T20771512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Brand |
E511247
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katy Brand |
—
|
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: Katy Brand | Statement: [Katy Brand, name, Katy Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katy Brand Context triple: [Katy Brand, name, Katy Brand]
-
A.
Katy Brand
chosen
Katy Brand is a British comedian, actress, and writer known for her sketch show "Katy Brand's Big Ass Show" and numerous film, television, and stage appearances.
-
B.
Katy Brandwood
Katy Brandwood is best known as the wife of the late British comedian and radio personality Jeremy Hardy.
-
C.
Katy Cavanagh
Katy Cavanagh is a British actress best known for her role as Julie Carp on the long-running soap opera "Coronation Street."
-
D.
Katy O’Brian
Katy O’Brian is an American actress and martial artist known for her physically intense and action-oriented roles in film and television.
-
E.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c266f4b48190891c0db3e322bb23 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.