Triple

T11505206
Position Surface form Disambiguated ID Type / Status
Subject Seven Elements That Have Changed the World E272765 entity
Predicate author P4 FINISHED
Object John Browne E935255 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 Browne | Statement: [Seven Elements That Have Changed the World, author, John Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Browne
Context triple: [Seven Elements That Have Changed the World, author, John Browne]
  • A. John Browne chosen
    John Browne is a British businessman and former CEO of BP who has written about leadership, corporate responsibility, and LGBT inclusion in the workplace.
  • B. Bill Canning
    Bill Canning is a notable individual who shares the Canning surname, recognized enough to be specifically distinguished among people with that name.
  • C. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • D. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • E. John Polson
    John Polson is an Australian actor and filmmaker best known internationally for directing thrillers such as "Swimfan" and "Hide and Seek."
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db2f4b08190801de1b773932f59 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86853e088190a9c1378aad45fa18 completed April 26, 2026, 9:41 p.m.
Created at: April 8, 2026, 9:36 p.m.