Triple
T865690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aitken |
E18696
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
|
E107782
|
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: Aitkin | Statement: [Aitken, hasVariant, Aitkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aitkin Context triple: [Aitken, hasVariant, Aitkin]
-
A.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
B.
Moorhead, Minnesota
Moorhead, Minnesota is a city in northwestern Minnesota located along the Red River of the North, forming part of the Fargo–Moorhead metropolitan area.
-
C.
Fargo
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
-
D.
Granton
Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
-
E.
Fargo, North Dakota
Fargo, North Dakota is the largest city in the state and a regional economic, cultural, and educational hub located along the Red River in the eastern part of North Dakota.
- 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: Aitkin Triple: [Aitken, hasVariant, Aitkin]
Generated description
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aitkin Target entity description: Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
A.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
B.
Moorhead, Minnesota
Moorhead, Minnesota is a city in northwestern Minnesota located along the Red River of the North, forming part of the Fargo–Moorhead metropolitan area.
-
C.
Fargo
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
-
D.
Granton
Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
-
E.
Fargo, North Dakota
Fargo, North Dakota is the largest city in the state and a regional economic, cultural, and educational hub located along the Red River in the eastern part of North Dakota.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7cb1888190a46c16b30256451b |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf53ee748190b5a08bd7a6d0614c |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfbf8cf08190b41d4e322e1bc61c |
completed | March 4, 2026, 6:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d01bd97081909d176e8fbb096859 |
completed | March 4, 2026, 6:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.