Triple

T4595656
Position Surface form Disambiguated ID Type / Status
Subject St. Ann’s Italian Festival E100197 entity
Predicate honors P2354 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 Italian Festival, honors, Saint Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Anne
Context triple: [St. Ann’s Italian Festival, honors, 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. Virgin Mary
    The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
  • D. 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.
  • E. Mother Maria Marthe
    Mother Maria Marthe is the stern yet devout head of a group of German nuns in the film "Lilies of the Field," whose unwavering faith drives the story’s central conflict and resolution.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4552148190be200be028ef3fdd completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.