Triple
T17301405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaela Coel |
E420046
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object | Arabella Essiedu |
E1167547
|
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: Arabella Essiedu | Statement: [Michaela Coel, hasRole, Arabella Essiedu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabella Essiedu Context triple: [Michaela Coel, hasRole, Arabella Essiedu]
-
A.
Grace Stansfield
Grace Stansfield, better known by her stage name Gracie Fields, was a hugely popular British singer, comedian, and actress of the early to mid-20th century.
-
B.
Shabana Mahmood
Shabana Mahmood is a British Labour Party politician and barrister who has served as a Member of Parliament and held senior frontbench roles.
-
C.
Kate Moseley
Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
-
D.
Paapa Essiedu
chosen
Paapa Essiedu is a British actor known for his acclaimed stage work with the Royal Shakespeare Company and his roles in television series such as "I May Destroy You" and "Gangs of London."
-
E.
Jemima Goldsmith
Jemima Goldsmith is a British screenwriter, film and television producer, and heiress known for her work in journalism and documentary production as well as her prominent role in public life.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fae8848190a06c5866e606baac |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180dc929c819096a7a5dc81e5b6ef |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.