Triple
T19453484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laverne |
E486674
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
LaVerne
LaVerne is a given name used in English-speaking countries, typically as a variant spelling of Laverne.
|
E1377624
|
NE FINISHED |
How this triple was built (4 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, hasVariant, LaVerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaVerne Context triple: [Laverne, hasVariant, LaVerne]
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
C.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
D.
Roscoe
Roscoe is a masculine given name of English origin that has been borne by various notable figures in the arts, politics, and sports.
-
E.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LaVerne Triple: [Laverne, hasVariant, LaVerne]
Generated description
LaVerne is a given name used in English-speaking countries, typically as a variant spelling of Laverne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LaVerne Target entity description: LaVerne is a given name used in English-speaking countries, typically as a variant spelling of Laverne.
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
C.
Stevonne
Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
-
D.
Roscoe
Roscoe is a masculine given name of English origin that has been borne by various notable figures in the arts, politics, and sports.
-
E.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b33395081909ac7e5406843da5c |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073ba7f03481908ed5c06a46c0a029 |
completed | May 15, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073cae2df481908ed9a0ee0bc14fd5 |
completed | May 15, 2026, 3:33 p.m. |
Created at: April 10, 2026, 1:38 p.m.