Triple
T20313039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Rabbit (2018 film) |
E510303
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Animal Logic |
—
|
NE NERFINISHED |
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: Animal Logic | Statement: [Peter Rabbit (2018 film), productionCompany, Animal Logic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Animal Logic Context triple: [Peter Rabbit (2018 film), productionCompany, Animal Logic]
-
A.
Animal Logic
chosen
Animal Logic is an Australian digital animation and visual effects studio renowned for its work on major feature films, including The Lego Movie.
-
B.
Animagic
Animagic is a stop-motion animation technique and visual style popularized by Rankin/Bass Productions in their classic holiday television specials.
-
C.
Bad Animals Studio
Bad Animals Studio is a renowned Seattle recording studio known for hosting major rock and alternative artists during the late 20th century.
-
D.
Dr. D Studios
Dr. D Studios is an Australian animation and visual effects studio best known for its work on feature films such as Happy Feet Two.
-
E.
Animorphic Systems
Animorphic Systems was a software company best known for creating Strongtalk, an advanced implementation of the Smalltalk programming language featuring optional static typing and high-performance virtual machine technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677450ee0819081f02b5e95f40176 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.