Triple

T329684
Position Surface form Disambiguated ID Type / Status
Subject Dorothea Dix E6597 entity
Predicate familyName P18 FINISHED
Object Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
E44373 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: Dix | Statement: [Dorothea Dix, familyName, Dix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dix
Context triple: [Dorothea Dix, familyName, Dix]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. de Forest
    de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
  • C. Savoy
    Savoy was a historically significant duchy and later kingdom in Western Europe, centered in the Alpine region between France and Italy, that played a key role in European power politics and the unification of Italy.
  • D. Bourbonnais
    Bourbonnais is a historic province in central France that once formed the heartland of the powerful Bourbon family’s domains.
  • E. duc d'Albany
    The duc d'Albany is the French title historically used for the Duke of Albany, a noble rank traditionally associated with Scottish and later British royalty.
  • 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: Dix
Triple: [Dorothea Dix, familyName, Dix]
Generated description
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dix
Target entity description: Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. de Forest
    de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
  • C. Savoy
    Savoy was a historically significant duchy and later kingdom in Western Europe, centered in the Alpine region between France and Italy, that played a key role in European power politics and the unification of Italy.
  • D. Bourbonnais
    Bourbonnais is a historic province in central France that once formed the heartland of the powerful Bourbon family’s domains.
  • E. duc d'Albany
    The duc d'Albany is the French title historically used for the Duke of Albany, a noble rank traditionally associated with Scottish and later British royalty.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaaeb64881909c7ab9bca3378e2b completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7e6f9408190a4c17c25a57625cf completed March 1, 2026, 6:08 a.m.
NEDg Description generation batch_69a3db973b7c819088fa25046ef67966 completed March 1, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a3dc9859308190ba69dc53b36cbe38 completed March 1, 2026, 6:28 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.