Triple
T21969800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Onslow |
E542556
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Onslow
Onslow is an English surname historically associated with notable political and aristocratic families in Britain.
|
E1511000
|
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: Onslow | Statement: [Arthur Onslow, familyName, Onslow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onslow Context triple: [Arthur Onslow, familyName, Onslow]
-
A.
Onslow
Onslow is a remote coastal town in Western Australia’s Pilbara region, known for its role in the local resources industry and as a gateway to nearby marine and outback attractions.
-
B.
Onslow
Onslow is a rural community in Colchester County, Nova Scotia, Canada, known for its agricultural landscape and proximity to the town of Truro.
-
C.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
-
D.
Morganton
Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
-
E.
Morganton
Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
- 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: Onslow Triple: [Arthur Onslow, familyName, Onslow]
Generated description
Onslow is an English surname historically associated with notable political and aristocratic families in Britain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onslow Target entity description: Onslow is an English surname historically associated with notable political and aristocratic families in Britain.
-
A.
Onslow
Onslow is a remote coastal town in Western Australia’s Pilbara region, known for its role in the local resources industry and as a gateway to nearby marine and outback attractions.
-
B.
Onslow
Onslow is a rural community in Colchester County, Nova Scotia, Canada, known for its agricultural landscape and proximity to the town of Truro.
-
C.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
-
D.
Morganton
Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
-
E.
Morganton
Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245e4ebc8190968108cc95a22fe4 |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6716e6f48190a758929b4cf94707 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67c29848819080860f13b4c9697b |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a686a0f208190977890119ffcff79 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:02 p.m.