Triple

T10811270
Position Surface form Disambiguated ID Type / Status
Subject Hungarian cinema E255103 entity
Predicate hasGoldenBearWinningFilm P95577 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, hasGoldenBearWinningFilm, Mephisto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mephisto
Context triple: [Hungarian cinema, hasGoldenBearWinningFilm, 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: hasGoldenBearWinningFilm
Context triple: [Hungarian cinema, hasGoldenBearWinningFilm, Mephisto]
  • A. hasWonGoldenGlobe
    Indicates that the subject has received at least one Golden Globe award.
  • B. 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.
  • C. academyAwardWins
    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. hasAwardedForFilmIndustry
    Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
  • E. hasAudienceAward
    Indicates that an entity has received an award determined by audience or public voting.
  • F. None of above. chosen

Provenance (5 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_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
PDg Predicate description generation batch_69d6fa334b8c819082eaf8537084c323 completed April 9, 2026, 1 a.m.
Created at: April 8, 2026, 9:18 p.m.