Triple
T9258567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars 3 |
E222507
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jason Hudak |
E202440
|
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 Hudak | Statement: [Cars 3, editedBy, Jason Hudak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Hudak Context triple: [Cars 3, editedBy, Jason Hudak]
-
A.
Jason Hudak
chosen
Jason Hudak is a film and video editor known for his post-production work, including collaborations with filmmaker Luca.
-
B.
Jonathan Pytko
Jonathan Pytko is a cinematographer best known for his work on the Pixar animated film "Turning Red."
-
C.
Chris Fedak
Chris Fedak is an American television writer and producer best known as the co-creator of the spy-comedy series "Chuck."
-
D.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
E.
Kevin Riepl
Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0714317481908405f857a4f49e74 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bf225608190ade085302946dd8f |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:32 p.m.