Triple
T17509313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikings |
E426407
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Clive Standen |
—
|
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: Clive Standen | Statement: [Vikings, leadActor, Clive Standen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clive Standen Context triple: [Vikings, leadActor, Clive Standen]
-
A.
Clive Standen
chosen
Clive Standen is a British actor best known for his roles in historical and action television series such as Vikings and Taken.
-
B.
Adrian Scarborough
Adrian Scarborough is a British character actor known for his versatile supporting roles in film, television, and theatre, often in period dramas and dark comedies.
-
C.
Ralph Macfadyen
Ralph Macfadyen is a child of British actor Matthew Macfadyen and his wife, actress Keeley Hawes.
-
D.
Rufus Sewell
Rufus Sewell is a British actor known for his intense screen presence and roles in films like "Dark City," "A Knight’s Tale," and numerous period dramas and television series.
-
E.
Benjamin Whitrow
Benjamin Whitrow was a British character actor best known for his acclaimed portrayal of Mr. Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.