Triple

T13240173
Position Surface form Disambiguated ID Type / Status
Subject Lady Mary Crawley E315259 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
E1028518 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 Crawley, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Lady Mary Crawley, givenName, Mary]
  • 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 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 of Lancaster was a 14th-century English noblewoman, daughter of Henry, 3rd Earl of Lancaster, and a member of the influential House of Lancaster.
  • D. Mary
    Mary is the middle name of Joseph Plunkett, the Irish nationalist, poet, and 1916 Easter Rising leader.
  • E. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • 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 Crawley, givenName, Mary]
Generated description
Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
  • A. Mary
    Mary is the given name of Lady Mary Palliser, a fictional aristocratic character from Anthony Trollope’s Palliser novels.
  • B. Mary
    Mary is the given name of Mary Anne Galton, a historical figure known primarily through her familial and biographical associations.
  • C. Mary
    Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
  • D. Mary
    Mary is the given name of Lady Mary Butler, an aristocratic figure from the historically influential Butler family.
  • E. Mary
    Mary is a central character in the romantic comedy film "About Time," known for her warm, quirky personality and her relationship with the time-traveling protagonist.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff0c88dc8190bcb83482d6df39b5 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f7013b3428819083c2bb6032aa08d4 completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f702b40f088190bc3c24321309dfb1 completed May 3, 2026, 8:09 a.m.
Created at: April 9, 2026, 9:23 p.m.