Triple

T158259
Position Surface form Disambiguated ID Type / Status
Subject Crucifixion of Jesus E3224 entity
Predicate hasWitness P653 FINISHED
Object Mary Magdalene E19963 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: Mary Magdalene | Statement: [Crucifixion of Jesus, hasWitness, Mary Magdalene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Magdalene
Context triple: [Crucifixion of Jesus, hasWitness, Mary Magdalene]
  • A. Mary Magdalene chosen
    Mary Magdalene is a prominent New Testament figure known as a devoted follower of Jesus who witnessed his crucifixion and was the first to see the resurrected Christ.
  • B. Virgin Mary
    The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
  • C. Saint Barbara
    Saint Barbara is a Christian martyr venerated as the patron saint of artillerymen, military engineers, and others who work with explosives and dangerous occupations.
  • D. Miryam
    Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
  • E. Saint Anne
    Saint Anne is traditionally venerated in Christian theology as the mother of the Virgin Mary and the grandmother of Jesus.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bac998c819099f2bed899220a78 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db53aaf081909577b743e3660e5c completed Feb. 28, 2026, 12:10 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.