Triple

T13956158
Position Surface form Disambiguated ID Type / Status
Subject Orthodox churches E335665 entity
Predicate majorFeast P1819 FINISHED
Object Transfiguration E3730 NE FINISHED

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: Transfiguration | Statement: [Orthodox churches, majorFeast, Transfiguration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transfiguration
Context triple: [Orthodox churches, majorFeast, Transfiguration]
  • A. Transfiguration chosen
    The Transfiguration is a Christian feast commemorating the moment Jesus Christ was revealed in divine glory before his disciples on Mount Tabor.
  • B. Transfiguration
    Transfiguration is a core magical discipline in the Harry Potter universe that focuses on altering the form and properties of objects and beings.
  • C. Transfiguration
    Transfiguration is the final, spiritually transcendent choral movement in Franz Liszt’s symphonic work "Scenes from Goethe’s Faust," depicting Faust’s ultimate redemption.
  • D. The Resurrection
    The Resurrection is a prominent religious painting by French Baroque artist Jean Restout the Younger depicting the risen Christ.
  • E. The Resurrection
    The Resurrection is a novel by American author John Gardner that explores themes of mortality, memory, and moral responsibility through the story of a philosophy professor confronting his past and impending death.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d27a0c8190b5d95ea86fc1a420 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.