Triple
T13667651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death at a Funeral |
E327662
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Keeley Hawes |
E352380
|
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: Keeley Hawes | Statement: [Death at a Funeral, castMember, Keeley Hawes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keeley Hawes Context triple: [Death at a Funeral, castMember, Keeley Hawes]
-
A.
Keeley Hawes
chosen
Keeley Hawes is an English actress known for her versatile roles in television dramas such as "Line of Duty," "Bodyguard," and "Ashes to Ashes."
-
B.
Caroline Quentin
Caroline Quentin is an English actress and television presenter best known for her comedic and dramatic roles in popular British series such as "Men Behaving Badly" and "Jonathan Creek."
-
C.
Anne-Marie Duff
Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
-
D.
Jessica Riley
Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
-
E.
Miranda Raison
Miranda Raison is an English actress known for her work in television, film, and theatre, including roles in "Spooks," "Doctor Who," and various stage productions.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db6187c8190969b035bc2813413 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 9, 2026, 9:52 p.m.