Triple
T17039402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stith Pemberton |
E413405
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pemberton
Pemberton is a surname most famously associated with John Stith Pemberton, the American pharmacist who invented Coca-Cola.
|
E1245882
|
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: Pemberton | Statement: [John Stith Pemberton, familyName, Pemberton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pemberton Context triple: [John Stith Pemberton, familyName, Pemberton]
-
A.
Pemberton
Pemberton is a small timber and tourism town in the forested hinterland of Western Australia's South West, known for its towering karri trees, wineries, and outdoor recreation.
-
B.
Pemberton
Pemberton is a suburban area and ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
-
C.
Pemberton
Pemberton is a small rural community in southwestern British Columbia, Canada, known for its agricultural valley setting and proximity to outdoor recreation areas near Whistler.
-
D.
Peniston
Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
-
E.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
- 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: Pemberton Triple: [John Stith Pemberton, familyName, Pemberton]
Generated description
Pemberton is a surname most famously associated with John Stith Pemberton, the American pharmacist who invented Coca-Cola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pemberton Target entity description: Pemberton is a surname most famously associated with John Stith Pemberton, the American pharmacist who invented Coca-Cola.
-
A.
Pemberton
Pemberton is a small timber and tourism town in the forested hinterland of Western Australia's South West, known for its towering karri trees, wineries, and outdoor recreation.
-
B.
Pemberton
Pemberton is a suburban area and ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
-
C.
Pemberton
Pemberton is a small rural community in southwestern British Columbia, Canada, known for its agricultural valley setting and proximity to outdoor recreation areas near Whistler.
-
D.
Peniston
Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
-
E.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f5844c819097eade4a2b42ab91 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c13076c8190970abfb0e2d3a13c |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.