Triple

T20997738
Position Surface form Disambiguated ID Type / Status
Subject Bleak Moments E517193 entity
Predicate cinematographyBy P1953 FINISHED
Object Brian Probyn NE NERFINISHED

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: Brian Probyn | Statement: [Bleak Moments, cinematographyBy, Brian Probyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Probyn
Context triple: [Bleak Moments, cinematographyBy, Brian Probyn]
  • A. Brian Probyn chosen
    Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
  • B. Brian McAuley
    Brian McAuley is an American telecommunications executive best known as a co-founder and early leader of Nextel Communications.
  • C. Ian Cawsey
    Ian Cawsey is a British Labour politician who served as a Member of Parliament in the late 1990s and 2000s.
  • D. Michael Whelan
    Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
  • E. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.