Triple

T5629086
Position Surface form Disambiguated ID Type / Status
Subject DialogueWithChristiansOfNajran E147790 entity
Predicate linkedFigure P44615 FINISHED
Object Mary
Mary is a central figure in Christianity and Islam, revered as the mother of Jesus and frequently referenced in interfaith theological dialogues.
E14130 NE FINISHED

How this triple was built (4 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: Mary | Statement: [DialogueWithChristiansOfNajran, linkedFigure, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [DialogueWithChristiansOfNajran, linkedFigure, Mary]
  • A. Mary
    Mary is the given name of Mary Wollstonecraft, the pioneering 18th-century English writer and advocate of women's rights.
  • B. Mary
    Mary is the given first name of the acclaimed American actress Meryl Streep.
  • C. Mary
    Mary Eleanor Darwin was a member of the Darwin family, known primarily as a descendant of the naturalist Charles Darwin.
  • D. Mary
    Mary is the middle name of Theresa May, the former Prime Minister of the United Kingdom.
  • E. Mary
    Mary is the given name of Lady Mary Palliser, a fictional aristocratic character from Anthony Trollope’s Palliser novels.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary
Triple: [DialogueWithChristiansOfNajran, linkedFigure, Mary]
Generated description
Mary is a central figure in Christianity and Islam, revered as the mother of Jesus and frequently referenced in interfaith theological dialogues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is a central figure in Christianity and Islam, revered as the mother of Jesus and frequently referenced in interfaith theological dialogues.
  • A. Mary chosen
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • B. Mary
    Mary is a feminine given name of Hebrew origin, widely used in English-speaking and many other cultures and historically associated with numerous religious and historical figures.
  • C. Mary
    Mary is the central, titular figure evoked in Jimi Hendrix’s song “The Wind Cries Mary,” often interpreted as a symbol of lost love and melancholy.
  • D. Mary
    Mary is a central character in W. H. Auden’s long poem "For the Time Being," which reimagines the Nativity story in a modern, philosophical context.
  • E. Mary
    Mary is the given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
  • F. None of above.

Provenance (5 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223b1e54819099fe5fc84ed17a88 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e1ed4c81908f670286556ced81 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c0384874d0819082ba855bfe6f2ba4 completed March 22, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c038e7df488190a960266045c4f41f completed March 22, 2026, 6:46 p.m.
Created at: March 22, 2026, 3:40 p.m.