Triple

T22001820
Position Surface form Disambiguated ID Type / Status
Subject Louise Frogley E543343 entity
Predicate workedOn P3 FINISHED
Object Tomorrowland NE NERFINISHED

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: Tomorrowland | Statement: [Louise Frogley, workedOn, Tomorrowland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomorrowland
Context triple: [Louise Frogley, workedOn, Tomorrowland]
  • A. Tomorrowland
    Tomorrowland is a futuristic-themed land found in several Disney parks, featuring attractions and environments inspired by space travel, advanced technology, and visions of the future.
  • B. Tomorrowland
    Tomorrowland is one of the world’s largest and most famous electronic dance music festivals, held annually in Boom, Belgium.
  • C. Tomorrowland (film)
    Tomorrowland is a 2015 science-fiction adventure film directed by Brad Bird that follows a gifted teenager and a disillusioned inventor who discover a futuristic parallel world and attempt to save both it and Earth from impending catastrophe.
  • D. Tomorrowland station
    Tomorrowland station is a themed railroad stop within Disneyland’s Tomorrowland area, serving as one of the stations on the Disneyland Railroad.
  • E. Tomorrowland Winter
    Tomorrowland Winter is a snow-covered edition of the famous Belgian electronic dance music festival, held annually at a ski resort in the French Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276ae4e0819097bf1b978451f776 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.