Triple

T16146235
Position Surface form Disambiguated ID Type / Status
Subject Mary Ludwig Hays E391788 entity
Predicate hasGivenName P17 FINISHED
Object Mary
Mary is the given name of Mary Ludwig Hays, an American Revolutionary War figure often associated with the legendary heroine "Molly Pitcher."
E1197277 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: [Mary Ludwig Hays, hasGivenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mary Ludwig Hays, hasGivenName, Mary]
  • A. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • B. Mary
    Mary is the given name of Mary Catherine Bateson, an American cultural anthropologist and writer known for her work on learning and the human life cycle.
  • C. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • D. Mary
    Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
  • E. Mary
    Mary is the first name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
  • 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: [Mary Ludwig Hays, hasGivenName, Mary]
Generated description
Mary is the given name of Mary Ludwig Hays, an American Revolutionary War figure often associated with the legendary heroine "Molly Pitcher."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of Mary Ludwig Hays, an American Revolutionary War figure often associated with the legendary heroine "Molly Pitcher."
  • 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 name of Mary Tyler Peabody, an American educator and reformer known for her work in the 19th century.
  • C. 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.
  • D. Mary
    Mary is the given name of Mary McLeod Bethune, a prominent African American educator, civil rights leader, and founder of Bethune-Cookman University.
  • E. Mary
    Mary is the given name of Lady Mary Wortley Montagu, an 18th-century English aristocrat, writer, and early advocate of smallpox inoculation.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9376fc8190bd9ef586b00c1d3b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a59c0481908eb346efaf10a0f6 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff8cc75b08190a5824dc35b751f93 completed May 10, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fff98b3d7c8190bb284321d17f58e2 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:01 a.m.