Triple

T7299709
Position Surface form Disambiguated ID Type / Status
Subject Gospel of John E167813 entity
Predicate contains P35 FINISHED
Object Passion narrative E47683 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: Passion narrative | Statement: [Gospel of John, contains, Passion narrative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passion narrative
Context triple: [Gospel of John, contains, Passion narrative]
  • A. Passion narrative chosen
    The Passion narrative is the section of the Gospels that recounts the suffering, crucifixion, death, and burial of Jesus Christ.
  • B. Passion and Warfare
    Passion and Warfare is a highly influential 1990 instrumental rock album by guitarist Steve Vai, renowned for its virtuosic playing and experimental compositions.
  • C. Passion
    Passion is a 1994 Stephen Sondheim musical known for its intense exploration of obsessive love and emotional vulnerability.
  • D. New Testament Passion narratives
    The New Testament Passion narratives are the Gospel accounts that recount Jesus Christ’s suffering, crucifixion, death, and events immediately surrounding them.
  • E. Passio
    Passio is a minimalist sacred choral work by Estonian composer Arvo Pärt that sets the Latin text of the Passion according to St. John.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebad1b4481909e49ccc580007e4b completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e550645c819085effd46dff60f09 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.