Triple
T2166701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Ejogo |
E46924
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | David Oyelowo |
E39429
|
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: David Oyelowo | Statement: [Carmen Ejogo, workedWith, David Oyelowo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Oyelowo Context triple: [Carmen Ejogo, workedWith, David Oyelowo]
-
A.
David Oyelowo
chosen
David Oyelowo is a British-Nigerian actor known for his powerful performances in film and television, particularly in biographical and historical dramas.
-
B.
Chiwetel Ejiofor
Chiwetel Ejiofor is an acclaimed British actor known for his powerful performances in films such as "12 Years a Slave," "Doctor Strange," and numerous stage and television roles.
-
C.
Jessica Oyelowo
Jessica Oyelowo is a British actress and singer known for her work in film, television, and theatre, as well as for her collaborations with her husband, actor David Oyelowo.
-
D.
Idris Elba
Idris Elba is a British actor, producer, and musician known for his roles in projects such as "Luther," "The Wire," and numerous major Hollywood films.
-
E.
Daniel Kaluuya
Daniel Kaluuya is a British actor acclaimed for his powerful performances in films such as "Get Out," "Black Panther," and "Judas and the Black Messiah."
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeab223881908aaa2bc4f85329cc |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3b13d9c8190b059d5c01518cf54 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:45 p.m.