Triple

T11365607
Position Surface form Disambiguated ID Type / Status
Subject Regius Professor of Mathematics at the University of Oxford E269195 entity
Predicate appointedBy P257 FINISHED
Object the Crown E26836 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: the Crown | Statement: [Regius Professor of Mathematics at the University of Oxford, appointedBy, the Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Crown
Context triple: [Regius Professor of Mathematics at the University of Oxford, appointedBy, the Crown]
  • A. the Crown chosen
    The Crown is the symbolic and legal embodiment of the British monarchy and state authority.
  • B. The Crown
    The Crown is the popular nickname for Charlotte FC, the Major League Soccer club based in Charlotte, North Carolina.
  • C. The Crown
    The Crown is a traditional English pub located in the village of Turners Hill in West Sussex.
  • D. The Crown
    The Crown is a critically acclaimed historical drama television series that chronicles the reign of Queen Elizabeth II and the political and personal events that shaped the second half of the 20th century.
  • E. The Hollow Crown
    The Hollow Crown is a British television series that adapts William Shakespeare’s history plays from the Henriad cycle into cinematic productions.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55667d4908190b6290135eba41e54 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.