Triple

T16526021
Position Surface form Disambiguated ID Type / Status
Subject Dexter E401438 entity
Predicate hasNotableBearer P458 FINISHED
Object John Dexter E190486 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: John Dexter | Statement: [Dexter, hasNotableBearer, John Dexter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dexter
Context triple: [Dexter, hasNotableBearer, John Dexter]
  • A. John Dexter chosen
    John Dexter was a British theatre and opera director and occasional screenwriter known for his influential work on stage and in film during the mid-20th century.
  • B. Jeff Buchanan
    Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
  • C. Joseph Cottle
    Joseph Cottle was an English publisher and bookseller in Bristol best known for supporting and publishing early works by Romantic poets such as William Wordsworth and Samuel Taylor Coleridge.
  • D. Ron Darling
    Ron Darling is a former Major League Baseball pitcher, best known for his years with the New York Mets and later work as a television baseball analyst.
  • E. John Flicker
    John Flicker is a conservation leader best known for serving as president of the National Audubon Society, where he advanced major initiatives in bird and habitat protection.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed3f0388190a9f03473c37dfc46 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608d36dc8190a094fa4513147c85 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.