Triple
T9789139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Docter |
E237562
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Peter Hans 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: Peter Hans Docter | Statement: [Pete Docter, birthName, Peter Hans Docter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Hans Docter Context triple: [Pete Docter, birthName, Peter Hans 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.
Jeremy Pikser
Jeremy Pikser is an American screenwriter best known for co-writing the political satire film "Bulworth."
-
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.
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.
-
E.
John Hamburg
John Hamburg is an American screenwriter and director best known for his work on hit comedy films such as "Meet the Parents," "Along Came Polly," and "I Love You, Man."
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
Created at: March 30, 2026, 8:27 p.m.