Triple

T21673443
Position Surface form Disambiguated ID Type / Status
Subject Physical Graffiti E534909 entity
Predicate hasPart P35 FINISHED
Object The Rover 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: The Rover | Statement: [Physical Graffiti, hasPart, The Rover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rover
Context triple: [Physical Graffiti, hasPart, The Rover]
  • A. The Rover
    The Rover is a Restoration comedy play by Aphra Behn that follows a group of English cavaliers pursuing love and adventure during Carnival in Naples.
  • B. The Rover chosen
    The Rover is a 2014 Australian post-apocalyptic crime drama film directed by David Michôd, set in a lawless outback ten years after a global economic collapse.
  • C. The Sunbeam
    The Sunbeam is a film associated with early 20th-century cinema, remembered today primarily for its connection to actor and director Wilfred Lucas.
  • D. Time Rover
    The Time Rover is a fictional time-traveling vehicle featured in Disney's DINOSAUR attraction, used to transport guests back to the age of the dinosaurs.
  • E. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0e06688190a75ea29534f5eed3 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:41 p.m.