Triple

T911231
Position Surface form Disambiguated ID Type / Status
Subject John Cotton E19661 entity
Predicate child P120 FINISHED
Object Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
E107513 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: Seaborn Cotton | Statement: [John Cotton, child, Seaborn Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaborn Cotton
Context triple: [John Cotton, child, Seaborn Cotton]
  • A. Cotton
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • B. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • C. Quilted Northern
    Quilted Northern is a well-known American toilet paper brand recognized for its softness, comfort, and quilted texture.
  • D. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • E. kente cloth
    Kente cloth is a brightly colored, intricately woven Ghanaian textile traditionally associated with the Akan people and widely recognized as a symbol of West African cultural identity and status.
  • 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: Seaborn Cotton
Triple: [John Cotton, child, Seaborn Cotton]
Generated description
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seaborn Cotton
Target entity description: Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
  • A. Cotton
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • B. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • C. Quilted Northern
    Quilted Northern is a well-known American toilet paper brand recognized for its softness, comfort, and quilted texture.
  • D. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • E. kente cloth
    Kente cloth is a brightly colored, intricately woven Ghanaian textile traditionally associated with the Akan people and widely recognized as a symbol of West African cultural identity and status.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2de5b008190851852331db41324 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73d5bdc8190828cdf9f54e33a46 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8c148708190bfdee5a55ab6d149 completed March 4, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69a7ca1e37f4819086cda13a446642e2 completed March 4, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:39 p.m.