Triple
T15625132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Dinosaur |
E375658
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Peter Sohn |
E77016
|
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 Sohn | Statement: [The Good Dinosaur, storyBy, Peter Sohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sohn Context triple: [The Good Dinosaur, storyBy, Peter Sohn]
-
A.
Peter Sohn
chosen
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
B.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
C.
Yohan Lee
Yohan Lee is a fictional character from the work "The Encyclopedists."
-
D.
Yong-joon Jung
Yong-joon Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
-
E.
Jae Kwon
Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ece07608190a705f108c8c2979a |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:14 a.m.