Triple
T14589157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On Dick |
E342398
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Charles Hawtrey |
E518313
|
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: Charles Hawtrey | Statement: [Carry On Dick, stars, Charles Hawtrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hawtrey Context triple: [Carry On Dick, stars, Charles Hawtrey]
-
A.
Charles Hawtrey
chosen
Charles Hawtrey was a British comic actor best known for his eccentric, effete characters in the long-running "Carry On" film series.
-
B.
Ralph Hedley
Ralph Hedley was an English painter and woodcarver best known for his realistic depictions of everyday life in the North East of England.
-
C.
Godfrey Tearle
Godfrey Tearle was a distinguished British stage and film actor of the early 20th century, known for his classical Shakespearean roles and appearances in notable films.
-
D.
Basil Blackett
Basil Blackett was a British civil servant and financial expert who played a key role in shaping early 20th-century imperial and international economic policy.
-
E.
Conway Tearle
Conway Tearle was an American stage and silent film actor prominent in the early 20th century.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.