Triple

T9225105
Position Surface form Disambiguated ID Type / Status
Subject Edmund Beckett Denison E221660 entity
Predicate mother P120 FINISHED
Object Maria Beverley
Maria Beverley was the mother of English lawyer, mechanician, and clockmaker Edmund Beckett Denison (later Lord Grimthorpe), noted for her role in a prominent 19th-century British family.
 E803116 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: Maria Beverley | Statement: [Edmund Beckett Denison, mother, Maria Beverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maria Beverley
Context triple: [Edmund Beckett Denison, mother, Maria Beverley]
  • A. Ruby Gentry
    Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
  • B. Beatrice Hennessy
    Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
  • C. Lucinda Ashby
    Lucinda Ashby is an Episcopal bishop who leads the Diocese of El Camino Real in California.
  • D. Sarah Davenport
    Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
  • E. March Avery
    March Avery is an American painter known for her colorful, modernist works and as the daughter of renowned artist Milton Avery.
  • 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: Maria Beverley
Triple: [Edmund Beckett Denison, mother, Maria Beverley]
Generated description
Maria Beverley was the mother of English lawyer, mechanician, and clockmaker Edmund Beckett Denison (later Lord Grimthorpe), noted for her role in a prominent 19th-century British family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maria Beverley
Target entity description: Maria Beverley was the mother of English lawyer, mechanician, and clockmaker Edmund Beckett Denison (later Lord Grimthorpe), noted for her role in a prominent 19th-century British family.
  • A. Ruby Gentry
    Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
  • B. Beatrice Hennessy
    Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
  • C. Lucinda Ashby
    Lucinda Ashby is an Episcopal bishop who leads the Diocese of El Camino Real in California.
  • D. Sarah Davenport
    Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
  • E. March Avery
    March Avery is an American painter known for her colorful, modernist works and as the daughter of renowned artist Milton Avery.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9dbd1481909f35a4bee8e0b450 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d139b350e08190a68f8870433f6bae completed April 4, 2026, 4:17 p.m.
NEDg Description generation batch_69d13a8e79b081908d5b4dce125df678 completed April 4, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69d13b1d2cb481908cdcbeb1a6c81794 completed April 4, 2026, 4:23 p.m.
Created at: March 30, 2026, 7:28 p.m.