Triple
T22803367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Capture |
E564462
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ben Miles |
—
|
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: Ben Miles | Statement: [The Capture, castMember, Ben Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Miles Context triple: [The Capture, castMember, Ben Miles]
-
A.
Ben Miles
chosen
Ben Miles is a British actor known for his work in television, film, and theatre, including roles in series like "Coupling" and "The Crown."
-
B.
Ben Miles
Ben Miles is the son of former LSU head football coach Les Miles and a college football fullback who has played at programs such as Nebraska and Texas A&M.
-
C.
Jeremy Miles
Jeremy Miles is a Welsh Labour politician and lawyer who has served in senior roles within the Welsh Government, including as a key legal and constitutional adviser.
-
D.
Jeremy King
Jeremy King is a prominent British restaurateur best known for co-founding some of London’s most iconic grand cafés and restaurants, including The Wolseley.
-
E.
Andrew Sanders
Andrew Sanders is a film art director known for his production design work on movies such as "The White Countess."
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.