Triple

T7421430
Position Surface form Disambiguated ID Type / Status
Subject Julius E171254 entity
Predicate worksAt P7 FINISHED
Object Disney World E1189 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: Disney World | Statement: [Julius, worksAt, Disney World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney World
Context triple: [Julius, worksAt, Disney World]
  • A. Walt Disney World Resort chosen
    Walt Disney World Resort is a massive entertainment complex near Orlando known for its theme parks, resorts, and attractions operated by The Walt Disney Company.
  • B. Disney Village
    Disney Village is the entertainment, dining, and shopping complex adjacent to Disneyland Paris, featuring themed restaurants, shops, and nightlife venues.
  • C. Walt Disney Studios Park
    Walt Disney Studios Park is a movie-themed amusement park at Disneyland Paris that immerses visitors in the worlds of Disney, Pixar, and Hollywood-style filmmaking through rides, shows, and studio-inspired attractions.
  • D. Magic Kingdom
    Magic Kingdom is a flagship Walt Disney World theme park in Florida known for its iconic Cinderella Castle and classic Disney attractions and characters.
  • E. Universal Orlando Resort
    Universal Orlando Resort is a major theme park and entertainment complex in Orlando known for its movie-themed attractions, hotels, and shopping and dining district.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277c92788190bcd36cfa461b4d95 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:11 p.m.