Triple
T19453485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laverne |
E486674
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lavern |
—
|
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: Lavern | Statement: [Laverne, hasVariant, Lavern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavern Context triple: [Laverne, hasVariant, Lavern]
-
A.
LaVerne
chosen
LaVerne is a given name used in English-speaking countries, typically as a variant spelling of Laverne.
-
B.
Laverne
Laverne is a feminine given name most prominently associated in contemporary culture with actress and LGBTQ+ advocate Laverne Cox.
-
C.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
D.
Lazelle
Lazelle is a feminine given name, used here as the middle name of Harriet Amanda Lazelle Warner.
-
E.
Laverne Frensky
Laverne Frensky is a minor character in the children's animated series "Arthur," known as the hardworking and supportive mother of Francine Frensky.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.