Triple

T21061589
Position Surface form Disambiguated ID Type / Status
Subject Daniel Petrie E518860 entity
Predicate notableWork P4 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: [Daniel Petrie, notableWork, Resurrection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resurrection
Context triple: [Daniel Petrie, notableWork, Resurrection]
  • A. Resurrection
    Resurrection is a Christian rock band known for its faith-based lyrics and contemporary worship music.
  • B. Resurrection
    Resurrection is a 1899 novel by Leo Tolstoy that explores themes of moral redemption, social injustice, and spiritual awakening through the story of a nobleman seeking to atone for a wrong done to a peasant woman.
  • C. 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.
  • D. Resurrection
    Resurrection is a 1912 silent film adaptation of Leo Tolstoy’s novel, notable as an early cinematic interpretation of the classic Russian work.
  • E. Resurrection chosen
    Resurrection is a 1927 American silent drama film adaptation of Leo Tolstoy’s novel, notable for its exploration of guilt, redemption, and social injustice.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb064a48190b892b78e27e8d0fa completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:38 p.m.