Triple
T10469371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin & Perry Go Large |
E246884
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Ed Bye |
E864522
|
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: Ed Bye | Statement: [Kevin & Perry Go Large, screenwriter, Ed Bye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Bye Context triple: [Kevin & Perry Go Large, screenwriter, Ed Bye]
-
A.
Ed Bye
chosen
Ed Bye is a British television and film director and producer known for his work on popular UK comedies such as Red Dwarf and Kevin & Perry Go Large.
-
B.
Jonathan Byers
Jonathan Byers is a quiet, introspective teenager and aspiring photographer from the Byers family in the supernatural horror series "Stranger Things."
-
C.
Andrew Hines
Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
-
D.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
E.
Ron Yerxa
Ron Yerxa is an American film producer known for his work on acclaimed independent and studio films such as "Little Miss Sunshine," "Election," and "Cold Mountain."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.