Triple
T1449428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Canning |
E31254
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Canning
Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
|
E165535
|
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: Canning | Statement: [George Canning, familyName, Canning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canning Context triple: [George Canning, familyName, Canning]
-
A.
FoodSaver
FoodSaver is a consumer brand best known for its home vacuum sealing systems that help preserve and store food for longer periods.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
D.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
E.
Cook
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
- 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: Canning Triple: [George Canning, familyName, Canning]
Generated description
Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canning Target entity description: Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
-
A.
FoodSaver
FoodSaver is a consumer brand best known for its home vacuum sealing systems that help preserve and store food for longer periods.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
D.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
E.
Cook
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55c408c8190917ed44d9070a2fb |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c4c940819091d15c4d2ffa6b1c |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad09d0c4d88190b5f79a92821ef577 |
completed | March 8, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a5eeac08190a4d13f4819fc1aba |
completed | March 8, 2026, 5:34 a.m. |
Created at: March 1, 2026, 8 p.m.