Triple

T17015567
Position Surface form Disambiguated ID Type / Status
Subject Stern Review E412811 entity
Predicate author P4 FINISHED
Object Nicholas Stern E87914 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: Nicholas Stern | Statement: [Stern Review, author, Nicholas Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Stern
Context triple: [Stern Review, author, Nicholas Stern]
  • A. Nicholas Stern chosen
    Nicholas Stern is a British economist and academic renowned for his influential work on the economics of climate change, including authoring the landmark Stern Review.
  • B. Anthony Atkinson
    Anthony Atkinson was a prominent British economist renowned for his pioneering work on income inequality, poverty, and the welfare state.
  • C. Laurence Keen
    Laurence Keen is a British professional golfer known for competing on developmental tours and national circuits.
  • D. Mike Berners-Lee
    Mike Berners-Lee is a British researcher, author, and expert on climate change and carbon footprinting, known for books such as "How Bad Are Bananas?" and "There Is No Planet B."
  • E. Malcolm Keen
    Malcolm Keen was a British actor known for his work in early 20th-century stage and silent films, including collaborations with director Alfred Hitchcock.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4ba2a88190a49d355836ff1dcf completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.