Triple

T12250179
Position Surface form Disambiguated ID Type / Status
Subject Marist Family E291950 entity
Predicate associatedWithTitleOfMary P5175 FINISHED
Object Mary of Nazareth E698 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 of Nazareth | Statement: [Marist Family, associatedWithTitleOfMary, Mary of Nazareth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary of Nazareth
Context triple: [Marist Family, associatedWithTitleOfMary, Mary of Nazareth]
  • A. Virgin Mary chosen
    The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
  • B. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • C. Marian
    Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
  • D. Saint Elizabeth
    Saint Elizabeth is a biblical figure known as the mother of John the Baptist and a relative of the Virgin Mary, revered for her faith and role in the events preceding Jesus’s birth.
  • E. La Sainte Vierge
    La Sainte Vierge is a modernist artwork by Francis Picabia that exemplifies his avant-garde, often irreverent approach to religious and traditional subjects.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.