Triple
T20223524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Stevens |
E495318
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dan Stevens |
—
|
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: Dan Stevens | Statement: [Dan Stevens, name, Dan Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Stevens Context triple: [Dan Stevens, name, Dan Stevens]
-
A.
Dan Stevens
chosen
Dan Stevens is a British actor best known for his roles in the TV series "Downton Abbey," the live-action film "Beauty and the Beast," and various stage and screen productions.
-
B.
Josh O'Connor
Josh O'Connor is a British actor best known for his acclaimed portrayal of Prince Charles in the television series "The Crown" and roles in films such as "God's Own Country."
-
C.
Matthew Reeve
Matthew Reeve is a British-American filmmaker and activist, known for his documentary work and for continuing the legacy of his father, actor and disability advocate Christopher Reeve.
-
D.
Bradley James
Bradley James is an English actor best known for portraying Prince Arthur in the BBC fantasy series "Merlin."
-
E.
Ben Barnes
Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd827708190b798a30f4e7d533f |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.