Triple

T4540404
Position Surface form Disambiguated ID Type / Status
Subject Seaborn Cotton E107513 entity
Predicate familyName P18 FINISHED
Object Cotton
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used around the world to make textiles and clothing.
 E3906 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 | Statement: [Seaborn Cotton, familyName, Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cotton
Context triple: [Seaborn Cotton, familyName, 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. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • C. Cotton Market
    Cotton Market is a historic commercial area traditionally associated with the trade and sale of cotton and related goods.
  • D. Cotton Tufts
    Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
  • E. Gossypium
    Gossypium is a genus of flowering plants best known for producing cotton, one of the world’s most important natural textile fibers.
  • 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
Triple: [Seaborn Cotton, familyName, Cotton]
Generated description
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used around the world to make textiles and clothing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cotton
Target entity description: Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used around the world to make textiles and clothing.
  • A. Cotton chosen
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • B. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • C. Cotton Market
    Cotton Market is a historic commercial area traditionally associated with the trade and sale of cotton and related goods.
  • D. Cotton Tufts
    Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
  • E. Gossypium
    Gossypium is a genus of flowering plants best known for producing cotton, one of the world’s most important natural textile fibers.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57bb5c0c819092ebb2dd3310f5f8 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdad01b2e48190806f9490b912ac66 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdadfe8a8881908de60c24b65af489 completed March 20, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bdae46cae48190b313aa9d4703e2a8 completed March 20, 2026, 8:29 p.m.
Created at: March 20, 2026, 1:04 p.m.