Triple

T18739083
Position Surface form Disambiguated ID Type / Status
Subject Around the World in 80 Days (1956 film) E458242 entity
Predicate mainCharacter P1183 FINISHED
Object Passepartout 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: Passepartout | Statement: [Around the World in 80 Days (1956 film), mainCharacter, Passepartout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passepartout
Context triple: [Around the World in 80 Days (1956 film), mainCharacter, Passepartout]
  • A. Passepartout chosen
    Passepartout is the loyal French valet and resourceful traveling companion of Phileas Fogg in Jules Verne’s novel "Around the World in Eighty Days."
  • B. Phileas Fogg
    Phileas Fogg is the precise and unflappable English gentleman protagonist of Jules Verne’s novel "Around the World in Eighty Days," known for his wager-driven global journey.
  • C. Fogg
    Fogg is a given name associated with Ethel Fogg Anderson, likely used as a distinctive personal or family name.
  • D. William Hayes Fogg
    William Hayes Fogg was an American businessman and art collector whose bequest led to the establishment of the Fogg Museum at Harvard University.
  • E. Jules Gilliéron
    Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ca990819098102f8522ce401f completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.