Triple
T14657113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clean and Sober |
E344139
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Richard Sakai |
E926435
|
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: Richard Sakai | Statement: [Clean and Sober, producer, Richard Sakai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Sakai Context triple: [Clean and Sober, producer, Richard Sakai]
-
A.
Richard Sakai
chosen
Richard Sakai is an American film and television producer best known for his long-running work on "The Simpsons" and various other projects with Gracie Films.
-
B.
Naoshi Arakawa
Naoshi Arakawa is a Japanese manga artist best known for creating the acclaimed music and romance series "Your Lie in April."
-
C.
Ken Sugimori
Ken Sugimori is a Japanese illustrator, character designer, and art director best known for creating the original artwork and many iconic creature designs for the Pokémon franchise.
-
D.
David Kitay
David Kitay is an American film composer best known for his work on popular 1990s teen and comedy films.
-
E.
Shigeru Mizuki
Shigeru Mizuki was a renowned Japanese manga artist and historian best known for his influential yokai-themed series "GeGeGe no Kitaro" and his works depicting his World War II experiences.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.