Triple

T13025677
Position Surface form Disambiguated ID Type / Status
Subject Colin Franklin E326298 entity
Predicate hasFamilyName P18 FINISHED
Object Franklin
Franklin is a common English surname borne by numerous notable figures across politics, science, literature, and popular culture.
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: [Colin Franklin, hasFamilyName, Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin
Context triple: [Colin Franklin, hasFamilyName, 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: [Colin Franklin, hasFamilyName, Franklin]
Generated description
Franklin is a common English surname borne by numerous notable figures across politics, science, literature, and popular culture.
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, literature, and popular culture.
  • 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 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.
  • D. 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.
  • E. Franklin
    Franklin is the middle name of American inventor and engineer Charles F. Kettering, known for his influential work in automotive and industrial innovation.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11f83d88190bc153dba75db0995 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c43bc75c8190887b8135fbc8bbb5 completed May 3, 2026, 3:42 a.m.
NED2 Entity disambiguation (via description) batch_69f6c50cf3c08190b1ef6379f1f96201 completed May 3, 2026, 3:46 a.m.
Created at: April 9, 2026, 8:53 p.m.