Triple

T15496082
Position Surface form Disambiguated ID Type / Status
Subject Lady Mary Coke E378821 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of Lady Mary Coke, an 18th-century British noblewoman and diarist known for her detailed letters and journals.
 E1162262 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: [Lady Mary Coke, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary
Context triple: [Lady Mary Coke, givenName, Mary]
  • A. Mary
    Mary is the birth name of Dusty Springfield, the acclaimed British pop singer known for hits like "Son of a Preacher Man."
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the middle name of Joseph Plunkett, the Irish nationalist, poet, and 1916 Easter Rising leader.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. Mary
    Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
  • 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: [Lady Mary Coke, givenName, Mary]
Generated description
Mary is the given name of Lady Mary Coke, an 18th-century British noblewoman and diarist known for her detailed letters and journals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary
Target entity description: Mary is the given name of Lady Mary Coke, an 18th-century British noblewoman and diarist known for her detailed letters and journals.
  • A. Mary
    Mary is the given name of Lady Mary Wortley Montagu, an 18th-century English aristocrat, writer, and early advocate of smallpox inoculation.
  • B. Mary
    Mary is the given name of Lady Mary Butler, an aristocratic figure from the historically influential Butler family.
  • C. Mary
    Mary is the given name of Mary Sidney, an English Renaissance noblewoman, writer, and literary patron.
  • D. Mary
    Mary is the given name of Mary Wollstonecraft, the pioneering 18th-century English writer and advocate of women's rights.
  • E. Mary
    Mary is the given name of Mary Anne Galton, a historical figure known primarily through her familial and biographical associations.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f59213c8190a9c98350225b5151 completed May 9, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff3ff96a6c8190a4c9f20dabc86cef completed May 9, 2026, 2:08 p.m.
Created at: April 10, 2026, 3:52 a.m.