Triple

T544929
Position Surface form Disambiguated ID Type / Status
Subject Walt Disney Animation Studios E12711 entity
Predicate notableWork P4 FINISHED
Object Zootopia E38393 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: Zootopia | Statement: [Walt Disney Animation Studios, notableWork, Zootopia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zootopia
Context triple: [Walt Disney Animation Studios, notableWork, Zootopia]
  • A. Zootopia chosen
    Zootopia is a 2016 Disney animated film set in a modern, anthropomorphic animal city where a rookie rabbit cop and a sly fox team up to solve a major conspiracy.
  • B. Coco
    Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
  • C. Minions
    Minions is a popular animated film franchise centered on small, yellow, mischievous creatures who serve as comedic sidekicks in the Despicable Me universe.
  • D. Luca
    Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
  • E. The Lego Movie
    The Lego Movie is a 2014 animated adventure-comedy film that follows an ordinary LEGO minifigure mistaken for a prophesied hero in a fast-paced, self-aware story set in a world built entirely from LEGO bricks.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dfec5c81908b76d723b30dc2f0 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e63063388190bece9d3b8cc027b8 completed March 2, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:32 p.m.