Triple

T16299016
Position Surface form Disambiguated ID Type / Status
Subject John Longhurst E395730 entity
Predicate notableWork P4 FINISHED
Object Dreamworld E69298 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: Dreamworld | Statement: [John Longhurst, notableWork, Dreamworld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dreamworld
Context triple: [John Longhurst, notableWork, Dreamworld]
  • A. Dreamworld chosen
    Dreamworld is a major Australian theme park on the Gold Coast known for its thrill rides, family attractions, and wildlife experiences.
  • B. Adventureland
    Adventureland is a themed land found in several Disney parks, designed to evoke exotic, tropical locales through attractions, lush landscaping, and immersive storytelling.
  • C. Adventureland
    Adventureland is a 2009 coming-of-age comedy-drama film set in a 1980s amusement park, known for its blend of humor and bittersweet romance.
  • D. Pleasure Island
    Pleasure Island is a popular coastal barrier island in southeastern North Carolina known for its beaches, boardwalk, and seaside tourism.
  • E. Pleasure Island
    Pleasure Island was a nightlife and entertainment district at Walt Disney World’s Disney Springs (formerly Downtown Disney) that featured themed clubs, restaurants, and New Year’s Eve–style celebrations before its redevelopment.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e30ee288190b78807b60cb18e22 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9d7ef48190b7acebebcb9608c3 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.