Triple
T5128208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Willoughby |
E115632
|
entity |
| Predicate | portrayedBy |
P1507
|
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: [John Willoughby, portrayedBy, Greg Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Wise Context triple: [John Willoughby, portrayedBy, 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.
Tim Walsh
Tim Walsh is a name shared by several notable individuals, including professionals in fields such as sports, music, and game design.
-
D.
Keenan Wynn
Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
-
E.
Jason Shuman
Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782428a081909583c7f368226daf |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfd90a848190a1c78063a437cf3c |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:42 p.m.