Triple
T14774992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernon |
E347235
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Vern |
E1050731
|
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: Vern | Statement: [Vernon, hasVariant, Vern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vern Context triple: [Vernon, hasVariant, Vern]
-
A.
Vern
chosen
Vern is a masculine given name, often used as a short form of names like Vernon or Lavern.
-
B.
Vernard
Vernard is a masculine given name of English origin, used both as a first name and occasionally as a surname.
-
C.
Vernie
Vernie is a character or component associated with the work "Soup," likely serving as a notable part of its story or structure.
-
D.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
-
E.
Verson
Verson is a commune in the Calvados department of the Normandy region in northwestern France.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec815dd5081909e927911c06b2d66 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.