Triple
T19891097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Jenner |
E478030
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object | Jenner |
—
|
NE NERFINISHED |
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: Jenner | Statement: [Edward Jenner, hasPartInName, Jenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenner Context triple: [Edward Jenner, hasPartInName, Jenner]
-
A.
Jenner
Jenner is a prominent American family name best known for its association with the Kardashian–Jenner reality television and business empire.
-
B.
Jenner
Jenner is a power-hungry, antagonistic rat in the animated film "The Secret of NIMH," known for plotting against the other intelligent rats to seize control.
-
C.
Jenner
Jenner is a small coastal town in Sonoma County, California, known for its scenic location at the mouth of the Russian River where it meets the Pacific Ocean.
-
D.
Jenner
chosen
Jenner is a surname most famously associated with Edward Jenner, the English physician who pioneered the smallpox vaccine and laid the foundation for modern immunology.
-
E.
Jenner Furst
Jenner Furst is an American documentary filmmaker and producer known for creating socially conscious, true-crime and justice-focused series such as the docuseries about Kalief Browder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590e02388190ab82918750cc2647 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.