Triple
T22722168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth |
E561889
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kennett |
—
|
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: Kennett | Statement: [Kenneth, hasVariant, Kennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennett Context triple: [Kenneth, hasVariant, Kennett]
-
A.
Kennett
Kennett is a village in Cambridgeshire, England, known for its rural setting and railway station on the route between Ely and Ipswich.
-
B.
Kennett
chosen
Kennett is an English-language surname borne by various notable individuals, including Australian politician Jeff Kennett.
-
C.
Kennett Square, Pennsylvania
Kennett Square, Pennsylvania is a small borough in southeastern Pennsylvania known as the "Mushroom Capital of the World" for its extensive mushroom farming industry.
-
D.
Southcott
Southcott is a researcher best known for formally describing the highly venomous box jellyfish species Chironex fleckeri.
-
E.
Bottomley
Bottomley is an English surname most notably associated with Horatio Bottomley, a prominent early 20th-century British financier, journalist, and politician.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17926ae0c8190af8493cab6b15261 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.