Triple

T2728780
Position Surface form Disambiguated ID Type / Status
Subject Braintree, Province of Massachusetts Bay E60258 entity
Predicate hasNotableResident P1092 FINISHED
Object Cotton Tufts
Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
 E292948 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: Cotton Tufts | Statement: [Braintree, Province of Massachusetts Bay, hasNotableResident, Cotton Tufts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cotton Tufts
Context triple: [Braintree, Province of Massachusetts Bay, hasNotableResident, Cotton Tufts]
  • A. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • B. Coton
    Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
  • C. Cotton
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • D. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • E. Ulex
    Ulex is a genus of spiny, evergreen shrubs commonly known as gorse, native to western Europe and noted for their bright yellow, pea-like flowers.
  • 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: Cotton Tufts
Triple: [Braintree, Province of Massachusetts Bay, hasNotableResident, Cotton Tufts]
Generated description
Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cotton Tufts
Target entity description: Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
  • A. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • B. Coton
    Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
  • C. Cotton
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • D. Seaborn Cotton
    Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • E. Ulex
    Ulex is a genus of spiny, evergreen shrubs commonly known as gorse, native to western Europe and noted for their bright yellow, pea-like flowers.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeaee388190a21e7fa0b8f83546 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb717260c8190a93641152f163879 completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb781327c819090c42c461d17762e completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:56 p.m.