Triple

T15491197
Position Surface form Disambiguated ID Type / Status
Subject Our Lady of Victory E378688 entity
Predicate category P87 FINISHED
Object Titles of Mary E167638 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: Titles of Mary | Statement: [Our Lady of Victory, category, Titles of Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titles of Mary
Context triple: [Our Lady of Victory, category, Titles of Mary]
  • A. Titles of Mary chosen
    The Titles of Mary are the various honorific names and epithets used in Christian tradition to express theological beliefs and devotional reverence for the Virgin Mary.
  • B. Mary, Queen of Peace
    Mary, Queen of Peace is a Marian title of the Virgin Mary that emphasizes her role as an intercessor and symbol of peace for Christians worldwide.
  • C. The Glories of Mary
    The Glories of Mary is a classic 18th-century Catholic devotional and theological work that extols the virtues, privileges, and intercessory power of the Virgin Mary.
  • D. Marian
    Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
  • E. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:48 a.m.