Triple

T2766323
Position Surface form Disambiguated ID Type / Status
Subject Madison E61346 entity
Predicate hasVariant P455 FINISHED
Object Maddison
Maddison is a given name and surname, often used as a variant spelling of Madison.
 E298066 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: Maddison | Statement: [Madison, hasVariant, Maddison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maddison
Context triple: [Madison, hasVariant, Maddison]
  • A. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Franklin
    Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
  • 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 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.
  • 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: Maddison
Triple: [Madison, hasVariant, Maddison]
Generated description
Maddison is a given name and surname, often used as a variant spelling of Madison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maddison
Target entity description: Maddison is a given name and surname, often used as a variant spelling of Madison.
  • A. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • B. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • C. Franklin
    Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
  • 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 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.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5762d08190a6286994a4e5dd92 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc048bc8481908a6f70e034167c2a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc14239e48190ad20f660e88befcb completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc202466c81908c300520173837dc completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.