Triple
T21285985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaVerne Andrews |
E524659
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | LaVerne |
—
|
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: LaVerne | Statement: [LaVerne Andrews, givenName, LaVerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaVerne Context triple: [LaVerne Andrews, givenName, LaVerne]
-
A.
LaVerne
chosen
LaVerne is a given name used in English-speaking countries, typically as a variant spelling of Laverne.
-
B.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
C.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
D.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
E.
Roscoe
Roscoe is a masculine given name of English origin that has been borne by various notable figures in the arts, politics, and sports.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d658e08190ad2f267123d53ede |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.