Triple

T13391224
Position Surface form Disambiguated ID Type / Status
Subject Sidney Franklin E319575 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: [Sidney Franklin, familyName, Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franklin
Context triple: [Sidney 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: [Sidney 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d543348190a9c1be509b015c0f completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72693a440819095a3136d8f49680a completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f72751f1b48190a8a79f10bf52b73d completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f727fbfde88190865aea5d6b4cb29d completed May 3, 2026, 10:48 a.m.
Created at: April 9, 2026, 9:34 p.m.