Triple
T5317760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Tricks |
E121592
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Roy Mitchell
Roy Mitchell is a television writer and producer best known for co-creating the British crime drama series "New Tricks."
|
E510554
|
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: Roy Mitchell | Statement: [New Tricks, creator, Roy Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Mitchell Context triple: [New Tricks, creator, Roy Mitchell]
-
A.
Dennis Dugan
Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
-
B.
Donn Cambern
Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
-
C.
Bob Gaillard
Bob Gaillard was a prominent American college basketball coach best known for leading the University of San Francisco Dons during the 1970s.
-
D.
Roy Furman
Roy Furman is an American theater producer and financier known for backing numerous successful Broadway productions.
-
E.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
- 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: Roy Mitchell Triple: [New Tricks, creator, Roy Mitchell]
Generated description
Roy Mitchell is a television writer and producer best known for co-creating the British crime drama series "New Tricks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Mitchell Target entity description: Roy Mitchell is a television writer and producer best known for co-creating the British crime drama series "New Tricks."
-
A.
Dennis Dugan
Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
-
B.
Donn Cambern
Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
-
C.
Bob Gaillard
Bob Gaillard was a prominent American college basketball coach best known for leading the University of San Francisco Dons during the 1970s.
-
D.
Roy Furman
Roy Furman is an American theater producer and financier known for backing numerous successful Broadway productions.
-
E.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855269ac8190bb7a9248d04f1823 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1111f104819094d7646dec32fad2 |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11a601c481908a8cb6ea2c04d6df |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf127799208190a47580ed7b9ad550 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:59 p.m.