Triple

T11031225
Position Surface form Disambiguated ID Type / Status
Subject St. Ann’s Church, Bronx, New York E260760 entity
Predicate namedAfter P63 FINISHED
Object Saint Anne E4646 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: Saint Anne | Statement: [St. Ann’s Church, Bronx, New York, namedAfter, Saint Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saint Anne
Context triple: [St. Ann’s Church, Bronx, New York, namedAfter, Saint Anne]
  • A. Saint Anne chosen
    Saint Anne is traditionally venerated in Christian theology as the mother of the Virgin Mary and the grandmother of Jesus.
  • B. 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.
  • C. Mother Ann
    Mother Ann was the religious leader Ann Lee, founder of the Shaker movement in 18th-century America.
  • D. Virgin Mary
    The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
  • E. Saint Martha
    Saint Martha is a New Testament figure, sister of Mary and Lazarus, venerated as a saint for her hospitality and service to 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e58aec8190bb8ffdc71c0614d2 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753c39408190982aba88ea1dbf19 completed April 18, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:25 p.m.