Triple
T19788395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uprising |
E475337
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Stephen Moyer |
—
|
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: Stephen Moyer | Statement: [Uprising, stars, Stephen Moyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Moyer Context triple: [Uprising, stars, Stephen Moyer]
-
A.
Stephen Moyer
chosen
Stephen Moyer is a British actor best known for his starring role as vampire Bill Compton in the HBO series "True Blood."
-
B.
Mitchell Henry
Mitchell Henry was a 19th-century British politician, businessman, and newspaper proprietor who played a key role in the early development of regional journalism in Manchester.
-
C.
Cheyenne Jackson
Cheyenne Jackson is an American actor and singer known for his work on Broadway and in television series such as "30 Rock," "Glee," and "American Horror Story."
-
D.
David Naughton
David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
-
E.
John Ehle
John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.