Triple
T21040371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reg Varney |
E518304
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Varney |
—
|
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: Varney | Statement: [Reg Varney, familyName, Varney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varney Context triple: [Reg Varney, familyName, Varney]
-
A.
Varney
chosen
Varney is the surname of American actor and comedian Jim Varney, best known for portraying the character Ernest P. Worrell in films and television.
-
B.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
C.
Walter Varney
Walter Varney was an early American aviation pioneer and entrepreneur who founded airlines that later evolved into major U.S. carriers such as United Airlines and Continental Airlines.
-
D.
Val Valentine
Val Valentine was a screenwriter known for his work on early 20th-century Hollywood films, including the musical comedy "Going Hollywood."
-
E.
Mr. Vandemar
Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.