Triple
T4361807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philhellenes |
E98676
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Canning |
E165535
|
NE FINISHED |
How this triple was built (2 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: [Philhellenes, hasNotableMember, Canning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canning Context triple: [Philhellenes, hasNotableMember, Canning]
-
A.
Canning
chosen
Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
-
B.
FoodSaver
FoodSaver is a consumer brand best known for its home vacuum sealing systems that help preserve and store food for longer periods.
-
C.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
-
D.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
E.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc357988190a2982a86847e2c42 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.