Triple

T16825852
Position Surface form Disambiguated ID Type / Status
Subject Caligula A.ix E409015 entity
Predicate associatedWith P37 FINISHED
Object Sir Robert Cotton E335136 NE FINISHED

How this triple was built (2 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: [Caligula A.ix, associatedWith, Sir Robert Cotton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Robert Cotton
Context triple: [Caligula A.ix, associatedWith, 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.

Provenance (3 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3126db88190ac5595b0d50e4232 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29e48f881908489bd77a9caec97 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.