Triple
T2124891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul |
E46402
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Pete Docter |
E46739
|
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: Pete Docter | Statement: [Soul, director, Pete Docter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Docter Context triple: [Soul, director, Pete Docter]
-
A.
Pete Docter
chosen
Pete Docter is an American animator, director, and screenwriter best known for creating and directing acclaimed Pixar films such as Monsters, Inc., Up, Inside Out, and Soul.
-
B.
Lee Unkrich
Lee Unkrich is an American film editor and director best known for his work at Pixar Animation Studios on acclaimed films such as Toy Story 3 and Coco.
-
C.
Andrew Stanton
Andrew Stanton is an American filmmaker and animator best known as a key creative force at Pixar, where he wrote and directed acclaimed films such as Finding Nemo and WALL·E.
-
D.
John Lasseter
John Lasseter is an American animator, director, and producer best known as a pioneering creative force behind Pixar’s early success and the director of landmark films like Toy Story.
-
E.
Amanda Docter
Amanda Docter is the wife of acclaimed Pixar director and animator Pete Docter.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0861707ec81908f3823ac4f04d4d6 |
completed | March 10, 2026, 8:59 p.m. |
Created at: March 4, 2026, 7:44 p.m.