Triple
T16850244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Note (2017 film) |
E409655
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jason Hoffs |
E796034
|
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: Jason Hoffs | Statement: [Death Note (2017 film), producer, Jason Hoffs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Hoffs Context triple: [Death Note (2017 film), producer, Jason Hoffs]
-
A.
Jason Hoffs
chosen
Jason Hoffs is a film and television producer known for overseeing genre and science-fiction projects, including serving as an executive producer on the series "Debris."
-
B.
Scott Huff
Scott Huff is a television producer best known for his executive production work on the historical drama series "The Spanish Princess."
-
C.
Josh Haden
Josh Haden is an American musician and songwriter best known as the founder and bassist of the band Spain.
-
D.
Jason Raff
Jason Raff is a television producer best known for serving as the longtime executive producer of the hit talent competition series "America's Got Talent."
-
E.
Aaron Russo
Aaron Russo was an American film producer and political activist best known for producing hit comedies in the 1980s and later directing libertarian-leaning documentaries.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b378dda48190ab81d75f2cfe3ab3 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.