Triple

T2124729
Position Surface form Disambiguated ID Type / Status
Subject WALL-E E46399 entity
Predicate precededBy P97 FINISHED
Object Ratatouille E46736 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: Ratatouille | Statement: [WALL-E, precededBy, Ratatouille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratatouille
Context triple: [WALL-E, precededBy, Ratatouille]
  • A. Ratatouille chosen
    Ratatouille is a 2007 Pixar animated film about a rat in Paris who dreams of becoming a gourmet chef, blending comedy, heart, and culinary artistry.
  • B. Remy’s Ratatouille Adventure
    Remy’s Ratatouille Adventure is a trackless 4D dark ride at EPCOT that shrinks guests to rat-size to experience a chaotic culinary adventure through Gusteau’s restaurant from Disney-Pixar’s Ratatouille.
  • C. 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.
  • D. 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.
  • E. Monsters, Inc.
    Monsters, Inc. is a 2001 animated comedy film that follows two monsters working at a scream-powered energy company whose lives are upended when a human child enters their world.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae519bfdb08190a7b715fbc5fd3f41 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.