Triple

T9687800
Position Surface form Disambiguated ID Type / Status
Subject The Lot of Fun E234454 entity
Predicate hasNickname P39 FINISHED
Object The Lot of Fun E234454 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: The Lot of Fun | Statement: [The Lot of Fun, hasNickname, The Lot of Fun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lot of Fun
Context triple: [The Lot of Fun, hasNickname, The Lot of Fun]
  • A. The Lot of Fun chosen
    The Lot of Fun is the famous nickname for Hal Roach Studios, the prolific Hollywood studio best known for producing classic comedy films and series such as Laurel and Hardy and Our Gang.
  • B. The Fun of It
    The Fun of It is a 1932 memoir by pioneering aviator Amelia Earhart, recounting her experiences in early aviation and encouraging women to pursue flying.
  • C. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • D. Shenanigans
    Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
  • E. Sea of Fun
    Sea of Fun is a family-friendly children’s area at SeaWorld Orlando featuring kid-focused rides, water play zones, and themed 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd42cc081909abcf4c85592d950 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910f94048190bf72712ed55e355b completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.