Triple

T1779777
Position Surface form Disambiguated ID Type / Status
Subject University of Exeter E39262 entity
Predicate hasNotableAlumni P51 FINISHED
Object J. K. Rowling E115208 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: J. K. Rowling | Statement: [University of Exeter, hasNotableAlumni, J. K. Rowling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. K. Rowling
Context triple: [University of Exeter, hasNotableAlumni, J. K. Rowling]
  • A. J. K. Rowling chosen
    J. K. Rowling is a British author best known for writing the globally popular Harry Potter fantasy series.
  • B. Bill Rowling
    Bill Rowling was a New Zealand Labour Party politician who served as Prime Minister in the mid-1970s.
  • C. T. H. White
    T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
  • D. Andrew Davies
    Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
  • E. Eoin Colfer
    Eoin Colfer is an Irish author best known for creating the popular Artemis Fowl series of children's fantasy novels.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e07bd081908e442c1004cdad61 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4fd0ec8190904f1ad2155c58bf completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.