Triple
T971444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sense and Sensibility (1995 film) |
E20952
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Greg Wise |
E22577
|
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: Greg Wise | Statement: [Sense and Sensibility (1995 film), stars, Greg Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Wise Context triple: [Sense and Sensibility (1995 film), stars, Greg Wise]
-
A.
Greg Wise
chosen
Greg Wise is a British actor and producer known for roles in period dramas such as "Sense and Sensibility" and for his long-term partnership with actress and writer Emma Thompson.
-
B.
Bill Durnan
Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
-
C.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
D.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
E.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44aa6088190a90c44a8f694ec41 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c0508348190b761b1cb40fd2ebc |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:40 p.m.