Triple

T3004936
Position Surface form Disambiguated ID Type / Status
Subject Sholem Asch E81877 entity
Predicate notableWork P4 FINISHED
Object Mary
"Mary" is a 1949 novel by Polish-Jewish writer Sholem Asch that reimagines the life of Jesus through the perspective of his mother.
E322156 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: [Sholem Asch, notableWork, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Sholem Asch, notableWork, Mary]
  • A. Mary
    Mary is a significant urban and economic center in southeastern Turkmenistan, known for its role in the country’s natural gas and cotton industries.
  • B. Mary
    Mary is the given name of Mary Shelley, the English novelist best known as the author of "Frankenstein."
  • C. Mary
    Mary is the birth name of American actress Billie Burke, best known for playing Glinda the Good Witch in "The Wizard of Oz."
  • D. 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.
  • E. Mary
    Mary, Princess Royal and Countess of Harewood, was a daughter of King George V and Queen Mary of the United Kingdom and a prominent British royal figure in the early to mid-20th century.
  • 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: [Sholem Asch, notableWork, Mary]
Generated description
"Mary" is a 1949 novel by Polish-Jewish writer Sholem Asch that reimagines the life of Jesus through the perspective of his mother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: "Mary" is a 1949 novel by Polish-Jewish writer Sholem Asch that reimagines the life of Jesus through the perspective of his mother.
  • A. Mary
    Mary is the given name of the American suspense novelist Mary Higgins Clark, known for her bestselling mystery and thriller books.
  • B. Mary
    Mary is a fictional character in B.F. Skinner’s utopian novel "Walden Two," representing one of the community’s young members shaped by its behaviorist social principles.
  • C. Mary
    Mary is the given name of Mary Shelley, the English novelist best known as the author of "Frankenstein."
  • D. Mary
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • E. Mary
    Mary is the first name of the American writer better known as Flannery O'Connor, a major figure in 20th-century Southern Gothic literature.
  • F. None of above. chosen

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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a15ad9c81908255003bdb38d603 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee3e7dc8190941407d73fc56e0f completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1ef69d49c81908caa41a80718896b completed March 11, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 2:59 p.m.