Triple

T6109530
Position Surface form Disambiguated ID Type / Status
Subject Nuestra Señora de la Merced E136198 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: [Nuestra Señora de la Merced, category, Titles of Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titles of Mary
Context triple: [Nuestra Señora de la Merced, 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. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • C. Elizabeth of the Trinity
    Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
  • D. Queen of Peace
    "Queen of Peace" is a dramatic, orchestral indie rock song by Florence and the Machine known for its sweeping arrangement and emotional intensity.
  • E. People’s Princess
    The "People’s Princess" is a widely used media nickname for Diana, Princess of Wales, highlighting her popularity, compassion, and close connection with the public.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b84ed088190a12cdb844d743326 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255f03e08190b62cd8ca2c079afb completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.