Triple

T10811264
Position Surface form Disambiguated ID Type / Status
Subject Hungarian cinema E255103 entity
Predicate hasAcademyAwardWinningFilm P25589 FINISHED
Object Mephisto E226875 NE FINISHED

How this triple was built (3 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: Mephisto | Statement: [Hungarian cinema, hasAcademyAwardWinningFilm, Mephisto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mephisto
Context triple: [Hungarian cinema, hasAcademyAwardWinningFilm, Mephisto]
  • A. Mephisto chosen
    Mephisto is a 1936 novel by Klaus Mann that satirically portrays an opportunistic actor’s moral corruption under Nazi Germany.
  • B. Mephisto Pheles
    Mephisto Pheles is a powerful, enigmatic demon and high-ranking exorcist who serves as a key manipulator and overseer of events in the manga and anime series Blue Exorcist.
  • C. Méphistophélès
    Méphistophélès is a demonic figure from the Faust legend, typically portrayed as the cunning tempter who bargains for human souls.
  • D. Woland
    Woland is a mysterious, devil-like figure who leads a retinue of supernatural beings and embodies chaos and moral reckoning in Mikhail Bulgakov’s novel "The Master and Margarita."
  • E. Sindorf
    Sindorf is a district of the town of Kerpen in North Rhine-Westphalia, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAcademyAwardWinningFilm
Context triple: [Hungarian cinema, hasAcademyAwardWinningFilm, Mephisto]
  • A. associatedAwardWinningFilm
    Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
  • B. hasAwardedForFilmIndustry
    Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
  • C. academyAwardWins chosen
    Indicates that one entity has won a specified number of Academy Awards (Oscars) or that a winning relationship exists between the entity and the Academy Award.
  • D. mostAwardsFilm
    Indicates that a film is the one that has received the highest number of awards within a given set or context.
  • E. hasAcademy
    Indicates that an entity possesses, operates, or is formally associated with an academy as part of its structure or offerings.
  • F. None of above.

Provenance (4 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:18 p.m.