Triple
T4559961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maid |
E120567
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Regina
Regina is a fictional character known for her role as a maid.
|
E452283
|
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: Regina | Statement: [Maid, character, Regina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Context triple: [Maid, character, Regina]
-
A.
Regina, Saskatchewan, Canada
Regina, Saskatchewan, Canada is the capital city of the province of Saskatchewan, known as a major cultural and economic center on the Canadian Prairies.
-
B.
Regina metropolitan area
The Regina metropolitan area is the urban region centered on Regina, the capital city of Saskatchewan, Canada, encompassing the city and its surrounding communities.
-
C.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
D.
The Royal City
The Royal City is the nickname of Guelph, a planned city in Ontario, Canada, known for its historic architecture, strong sense of community, and consistently high quality-of-life rankings.
-
E.
Saskatoon
Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
- 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: Regina Triple: [Maid, character, Regina]
Generated description
Regina is a fictional character known for her role as a maid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regina Target entity description: Regina is a fictional character known for her role as a maid.
-
A.
Regina, Saskatchewan, Canada
Regina, Saskatchewan, Canada is the capital city of the province of Saskatchewan, known as a major cultural and economic center on the Canadian Prairies.
-
B.
Regina metropolitan area
The Regina metropolitan area is the urban region centered on Regina, the capital city of Saskatchewan, Canada, encompassing the city and its surrounding communities.
-
C.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
D.
The Royal City
The Royal City is the nickname of Guelph, a planned city in Ontario, Canada, known for its historic architecture, strong sense of community, and consistently high quality-of-life rankings.
-
E.
Saskatoon
Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc593eaf881908a9043366230b391 |
completed | March 20, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69bdc5f0b52c8190bbfa2a6a22d56725 |
completed | March 20, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc63b1e0881908f861f7c9c5ce3ac |
completed | March 20, 2026, 10:12 p.m. |
Created at: March 20, 2026, 1:09 p.m.