Triple

T22247451
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Bondarchuk E549880 entity
Predicate produced P490 FINISHED
Object Attraction 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: Attraction | Statement: [Fyodor Bondarchuk, produced, Attraction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attraction
Context triple: [Fyodor Bondarchuk, produced, Attraction]
  • A. Attraction chosen
    Attraction is a Russian science fiction film directed by Fyodor Bondarchuk that centers on the dramatic consequences of an alien spacecraft crash-landing in Moscow.
  • B. Physical Attraction
    "Physical Attraction" is a synth-driven dance-pop song by Madonna from her self-titled debut album, exploring themes of desire and sensual magnetism.
  • C. Animal Magnetism
    "Animal Magnetism" is a noise music album by Japanese experimental artist Merzbow, showcasing his signature harsh, layered soundscapes.
  • D. Animal Magnetism
    Animal Magnetism is a 1980 hard rock/heavy metal studio album by German band Scorpions, known for its dark, heavy sound and controversial cover art.
  • E. fatal attraction
    Fatal attraction is an intense, obsessive romantic or sexual fixation that drives a person toward destructive, often violent behavior and tragic outcomes.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13219dc3481908dd987c4e98623e6 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.