Triple

T13936579
Position Surface form Disambiguated ID Type / Status
Subject Cotton Library E335135 entity
Predicate collectionFormedBy P87654 FINISHED
Object Sir Robert Cotton E335136 NE FINISHED

How this triple was built (3 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: Sir Robert Cotton | Statement: [Cotton Library, collectionFormedBy, Sir Robert Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Robert Cotton
Context triple: [Cotton Library, collectionFormedBy, Sir Robert Cotton]
  • A. Sir Robert Cotton chosen
    Sir Robert Cotton was an English antiquarian and politician best known for founding the Cotton Library, one of the most important collections of medieval manuscripts in Britain.
  • B. Thomas Bodley
    Thomas Bodley was an English diplomat and scholar best known for refounding and endowing the Bodleian Library at the University of Oxford in the early 17th century.
  • C. Sir William Holburne
    Sir William Holburne was a 19th-century British art collector and aristocrat whose extensive collection of fine and decorative arts formed the foundation of the Holburne Museum in Bath.
  • D. Sir John Woodward
    Sir John Woodward is a distinguished British geologist and academic leader known for his contributions to Earth sciences and higher education.
  • E. Theodore de Mayerne
    Theodore de Mayerne was a prominent 17th-century Swiss-born physician and chemist who served as royal doctor in England and helped advance early modern medical and chemical practice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectionFormedBy
Context triple: [Cotton Library, collectionFormedBy, Sir Robert Cotton]
  • A. collectionFormed
    Indicates that multiple items or entities have been gathered and organized together into a defined collection.
  • B. collectionBy chosen
    Indicates that one entity is the collector or curator responsible for assembling, managing, or owning a particular collection of items represented by another entity.
  • C. formerCollectionOf
    Indicates that an entity once served as a collection or repository for another entity, but no longer holds that role.
  • D. collectsFrom
    Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
  • E. collectionModel
    Indicates that one entity serves as a model, template, or representative example for a collection of related entities.
  • F. None of above.

Provenance (4 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac880f50819080011aef63f48dc8 completed May 6, 2026, 9:03 p.m.
PD Predicate disambiguation batch_69dbc873052c8190b33ff7f7c5a4e7ee completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:17 p.m.