Triple
T20609815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still Game |
E506416
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Steven Canny
Steven Canny is a British television producer and executive known for his work on acclaimed comedy series and adaptations for the BBC.
|
E1439731
|
NE FINISHED |
How this triple was built (4 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: Steven Canny | Statement: [Still Game, executiveProducer, Steven Canny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Canny Context triple: [Still Game, executiveProducer, Steven Canny]
-
A.
Christopher De Vore
Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
-
B.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
C.
Steven Clemons
Steven Clemons is an American journalist and political commentator known for his analysis of U.S. foreign policy and national security issues.
-
D.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
-
E.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steven Canny Triple: [Still Game, executiveProducer, Steven Canny]
Generated description
Steven Canny is a British television producer and executive known for his work on acclaimed comedy series and adaptations for the BBC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Canny Target entity description: Steven Canny is a British television producer and executive known for his work on acclaimed comedy series and adaptations for the BBC.
-
A.
Christopher De Vore
Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
-
B.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
C.
Steven Clemons
Steven Clemons is an American journalist and political commentator known for his analysis of U.S. foreign policy and national security issues.
-
D.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
-
E.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- F. None of above. chosen
Provenance (5 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad5e53c8190b0add34ce9b31d57 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3f98e5c8190833d0e47b3e9585b |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b5a15a7c819099923f5a4d5f92c0 |
completed | May 16, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b603cd8481908780f4670dabf4a0 |
completed | May 16, 2026, 6:23 p.m. |
Created at: April 16, 2026, 11:41 a.m.