Triple

T7137792
Position Surface form Disambiguated ID Type / Status
Subject Big Ears E166351 entity
Predicate literaryUniverse P23262 FINISHED
Object Toyland universe E166348 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: Toyland universe | Statement: [Big Ears, literaryUniverse, Toyland universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyland universe
Context triple: [Big Ears, literaryUniverse, Toyland universe]
  • A. World of Disney
    World of Disney is a flagship Disney retail store offering an extensive selection of Disney-themed merchandise, apparel, and souvenirs.
  • B. Toyland chosen
    Toyland is the colorful, whimsical fantasy world that serves as the primary setting for Enid Blyton’s Noddy stories, inhabited by living toys and playful characters.
  • C. Magic Kingdom of Landover series
    The Magic Kingdom of Landover series is a humorous fantasy novel sequence by Terry Brooks that follows a Chicago lawyer who buys a magical kingdom from a catalog and must learn to rule its quirky inhabitants.
  • D. Discoveryland
    Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
  • E. Adventure Land
    Adventure Land is a themed area within Europa-Park that immerses visitors in adventurous, exploration-inspired settings and attractions.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6939b788190929e92ff481f2ee4 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34b99048190a8e77cd0fe253611 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.