Triple

T7601834
Position Surface form Disambiguated ID Type / Status
Subject Order of St. Anna E180001 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: [Order of St. Anna, namedAfter, Saint Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Anne
Context triple: [Order of St. Anna, 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. 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870858c648190acbbad9b5bb12ba4 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.