Triple

T21896597
Position Surface form Disambiguated ID Type / Status
Subject The Procession to Calvary E540693 entity
Predicate mainSubject P3 FINISHED
Object Calvary 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: Calvary | Statement: [The Procession to Calvary, mainSubject, Calvary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calvary
Context triple: [The Procession to Calvary, mainSubject, Calvary]
  • A. Calvary
    Calvary is a 2014 Irish black comedy-drama film about a good priest facing a death threat from a troubled parishioner, noted for its dark humor and moral complexity.
  • B. Calvary
    Calvary is a small unincorporated community in Grady County, Georgia, known for its rural character and annual Mule Day festival.
  • C. Calvary chosen
    Calvary is the hill outside Jerusalem traditionally identified as the site where Jesus Christ was crucified.
  • D. Calvary hill
    Calvary hill is a religious pilgrimage site and scenic hilltop landmark overlooking the town of Svätý Jur in western Slovakia.
  • E. Old Calvary
    Old Calvary is a historic cemetery known for its early burials and longstanding role as a resting place for local communities.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc700c08190a470fe1ad76c8509 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.