Triple

T17843228
Position Surface form Disambiguated ID Type / Status
Subject Katusha Maslova E445586 entity
Predicate appearsIn P795 FINISHED
Object Resurrection 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: Resurrection | Statement: [Katusha Maslova, appearsIn, Resurrection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resurrection
Context triple: [Katusha Maslova, appearsIn, Resurrection]
  • A. Resurrection
    The Resurrection is the Christian belief that Jesus Christ rose from the dead on the third day after his crucifixion, signifying his victory over sin and death.
  • B. Resurrection chosen
    Resurrection is a 1958 film adaptation of Leo Tolstoy’s novel, depicting themes of guilt, redemption, and moral awakening.
  • C. Resurrection
    "Resurrection" is a 2005 pop and rock-influenced studio album by American singer Anastacia, marking her return after a period of personal and health challenges.
  • D. Resurrection
    "Resurrection" is a song by the English rock band PPK, best known for its trance-influenced electronic sound and popularity in the early 2000s.
  • E. Resurrection
    "Resurrection" is a television drama series featuring Michelle Fairley in a prominent role, centered on the mysterious return of deceased people to a small town.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff8730881908cc8e1b572fa0af8 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.