Triple
T15060021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Elizabeth Coke |
E379599
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Coke |
E1135932
|
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: Coke | Statement: [Lady Elizabeth Coke, hasSurname, Coke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coke Context triple: [Lady Elizabeth Coke, hasSurname, Coke]
-
A.
Coke
chosen
Coke is an English aristocratic family name historically associated with prominent peers, politicians, and landowners in Britain.
-
B.
Chero-Cola
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
-
C.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
D.
Buzz Cola
Buzz Cola is a fictional soft drink brand from the animated television series "The Simpsons," often depicted as a popular but comically unhealthy beverage in Springfield.
-
E.
Diet Dr Pepper
Diet Dr Pepper is a sugar-free, low-calorie version of the Dr Pepper soft drink that maintains a similar distinctive flavor using artificial sweeteners.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0fd7dc8190a10c8eb7542c3088 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:01 a.m.