Triple
T15122164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changes |
E361195
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Josh Gudwin |
E388137
|
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: Josh Gudwin | Statement: [Changes, producer, Josh Gudwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Gudwin Context triple: [Changes, producer, Josh Gudwin]
-
A.
Josh Gudwin
chosen
Josh Gudwin is a Grammy-winning Canadian recording and mixing engineer best known for his work with major pop artists such as Justin Bieber.
-
B.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
C.
Aaron Guzikowski
Aaron Guzikowski is an American screenwriter best known for writing the acclaimed thriller film "Prisoners" and creating the science fiction series "Raised by Wolves."
-
D.
Jason Gedrick
Jason Gedrick is an American actor best known for his breakout role in 1980s action films and later work in television dramas such as "Murder One" and "Boomtown."
-
E.
Alex Hirsch
Alex Hirsch is an American animator, writer, and producer best known as the creator of the Disney Channel animated series "Gravity Falls."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe6c9cc8190b15e81092faa8ccf |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.