Triple
T10325669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Guard |
E242754
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Chiwetel Ejiofor |
E48034
|
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: Chiwetel Ejiofor | Statement: [The Old Guard, starring, Chiwetel Ejiofor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiwetel Ejiofor Context triple: [The Old Guard, starring, Chiwetel Ejiofor]
-
A.
Chiwetel Ejiofor
chosen
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.
-
B.
David Oyelowo
David Oyelowo is a British-Nigerian actor known for his powerful performances in film and television, particularly in biographical and historical dramas.
-
C.
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.
-
D.
Mark Rylance
Mark Rylance is an acclaimed English actor and theatre director known for his nuanced performances on stage and in films such as "Bridge of Spies" and "Dunkirk."
-
E.
James D'Arcy
James D'Arcy is a British actor known for his roles in films such as "Dunkirk" and "Cloud Atlas" and in television series including "Broadchurch" and "Agent Carter."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.