Triple

T22428365
Position Surface form Disambiguated ID Type / Status
Subject The Magician’s Elephant E554431 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: [The Magician’s Elephant, productionCompany, Animal Logic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Animal Logic
Context triple: [The Magician’s Elephant, 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.