Triple
T2611101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin |
E58775
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Franklinn
Franklinn is a variant spelling of the name Franklin, typically used as a given name or surname.
|
E58775
|
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: Franklinn | Statement: [Franklin, hasVariant, Franklinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklinn Context triple: [Franklin, hasVariant, Franklinn]
-
A.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
B.
Randolph
Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
-
C.
Randolph
Randolph is a character from Truman Capote’s Southern Gothic novel "Other Voices, Other Rooms," notable for his eccentric, theatrical personality and complex, ambiguous sexuality.
-
D.
Randolph
Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
-
E.
Franklin
Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
- 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: Franklinn Triple: [Franklin, hasVariant, Franklinn]
Generated description
Franklinn is a variant spelling of the name Franklin, typically used as a given name or surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franklinn Target entity description: Franklinn is a variant spelling of the name Franklin, typically used as a given name or surname.
-
A.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
B.
Randolph
Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
-
C.
Randolph
Randolph is a character from Truman Capote’s Southern Gothic novel "Other Voices, Other Rooms," notable for his eccentric, theatrical personality and complex, ambiguous sexuality.
-
D.
Randolph
Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
-
E.
Franklin
chosen
Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
- F. None of above.
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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87b24e48190ad1d4ce7e63c0f3e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e506188190b6cd3b507dfc353c |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af846b59508190b6f7f9b266123be0 |
completed | March 10, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af850fe6008190bf6c7c64d1078a50 |
completed | March 10, 2026, 2:42 a.m. |
Created at: March 6, 2026, 9:50 p.m.