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.