Triple

T18358103
Position Surface form Disambiguated ID Type / Status
Subject Captain Fred E439846 entity
Predicate setting P1957 FINISHED
Object Pepperland 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: Pepperland | Statement: [Captain Fred, setting, Pepperland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepperland
Context triple: [Captain Fred, setting, Pepperland]
  • A. Pepperland chosen
    Pepperland is a whimsical, music-loving underwater utopia featured as the primary fantastical world in the Beatles’ animated film "Yellow Submarine."
  • B. Nutopia
    Nutopia is a production company known for creating visually striking, narrative-driven documentary series and films that blend science, history, and storytelling.
  • C. Pajottenland
    Pajottenland is a rural region in the southwest of the Belgian province of Flemish Brabant, known for its rolling countryside, traditional farms, and production of lambic and gueuze beers.
  • D. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • E. Backaland
    Backaland is a small settlement on the Orkney island of Eday in Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d88bc481909bcfd2e8984b7216 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.