Triple
T11828921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Franklin |
E281331
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Franklin
Franklin is a common English surname borne by numerous notable figures across politics, science, and the arts.
|
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: Franklin | Statement: [Jesse Franklin, familyName, Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin Context triple: [Jesse Franklin, familyName, Franklin]
-
A.
Franklin
Franklin is a wealthy, hospitable landowner and one of the storytellers in Geoffrey Chaucer’s The Canterbury Tales, known for his focus on gentility and marital harmony.
-
B.
Franklin
Franklin McCain was an American civil rights activist best known as one of the Greensboro Four who led the 1960 Woolworth’s lunch counter sit-in in North Carolina.
-
C.
Franklin
Franklin is the middle name of William Franklin Graham Jr., better known as the American evangelist Billy Graham.
-
D.
Franklin
Franklin is a residential suburb in the Canberra region of the Australian Capital Territory, known for its family-friendly amenities and proximity to the Gungahlin town centre.
-
E.
Franklin
Franklin is a town in Norfolk County, Massachusetts, serving as a terminus for the MBTA Commuter Rail system.
- 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: Franklin Triple: [Jesse Franklin, familyName, Franklin]
Generated description
Franklin is a common English surname borne by numerous notable figures across politics, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franklin Target entity description: Franklin is a common English surname borne by numerous notable figures across politics, science, and the arts.
-
A.
Franklin
chosen
Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
-
B.
Franklin
Franklin is a given name commonly used as a masculine first or middle name in English-speaking countries, historically associated with figures such as U.S. statesman Benjamin Franklin.
-
C.
Franklin
Franklin is the middle name of American inventor and engineer Charles F. Kettering, known for his influential work in automotive and industrial innovation.
-
D.
Franklin
Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
-
E.
Franklin
Franklin is the given name of Franklin Ajaye, an American stand-up comedian and actor known for his distinctive laid-back delivery and influential comedy albums.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62b75dc8190b27d24e46a262a11 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1672e736481909ba5f867cb840039 |
completed | April 29, 2026, 2:04 a.m. |
| NEDg | Description generation | batch_69f170034b488190a6976d3333823caa |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17805325881908b98eb9c8fc59778 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.