Triple
T9789809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End of Watch |
E237578
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matt Jackson |
E452233
|
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: Matt Jackson | Statement: [End of Watch, producer, Matt Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Jackson Context triple: [End of Watch, producer, Matt Jackson]
-
A.
Matt Jackson
chosen
Matt Jackson is a film producer known for his work on high-profile movies including the poker drama "Molly's Game."
-
B.
Russ Jackson
Russ Jackson is an American businessman and classic car enthusiast best known as the co-founder of the Barrett-Jackson Collector Car Auction, one of the world’s premier collector car auction companies.
-
C.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
D.
Brian J. Reynolds
Brian J. Reynolds is a cinematographer best known for his work on the crime film "Gang Related."
-
E.
Tim Dutton
Tim Dutton is a British actor known for his work in film, television, and theatre, including roles in period dramas and literary adaptations.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.