Triple
T21536645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rotters' Club |
E531365
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Peter Jeffrey |
—
|
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: Peter Jeffrey | Statement: [The Rotters' Club, castMember, Peter Jeffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Jeffrey Context triple: [The Rotters' Club, castMember, Peter Jeffrey]
-
A.
Peter Jeffrey
chosen
Peter Jeffrey was a British character actor known for his extensive work in film, television, and theatre from the 1950s through the 1990s.
-
B.
Ian Lansbury
Ian Lansbury is a television producer and member of the Lansbury family, the grandson of acclaimed actress Angela Lansbury.
-
C.
Jason Flemyng
Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
-
D.
Michael Ripper
Michael Ripper was a British character actor best known for his prolific supporting roles in Hammer horror films from the 1950s to the 1970s.
-
E.
John Pearson
John Pearson was a British author and biographer best known for his works on the Kray twins and other true-crime and historical subjects.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.