Triple

T11049554
Position Surface form Disambiguated ID Type / Status
Subject Happy Feet E261209 entity
Predicate productionCompany P490 FINISHED
Object Animal Logic E74783 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: Animal Logic | Statement: [Happy Feet, productionCompany, Animal Logic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Animal Logic
Context triple: [Happy Feet, 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. 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.
  • E. Nemo Studios
    Nemo Studios was Vangelis’s personal London recording studio, renowned as the creative hub where he produced many of his influential electronic and film music works.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa06bae08190a0db615a258ded29 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.