Triple

T11550722
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Warnock E273881 entity
Predicate influenced P9 FINISHED
Object Jonathan Glover E932685 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: Jonathan Glover | Statement: [Geoffrey Warnock, influenced, Jonathan Glover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Glover
Context triple: [Geoffrey Warnock, influenced, Jonathan Glover]
  • A. Jonathan Glover chosen
    Jonathan Glover is a British philosopher known for his influential work in ethics, moral philosophy, and bioethics, particularly on issues such as war, genocide, and the ethics of life and death.
  • B. Ian Gilroy
    Ian Gilroy is a musician best known as a former member of the New Zealand rock band The Swingers.
  • C. Graham Hess
    Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
  • D. James Grenning
    James Grenning is a software engineer, author, and trainer known for his contributions to Agile development practices and embedded software engineering.
  • E. Stephen Greenhorn
    Stephen Greenhorn is a Scottish playwright and screenwriter known for his work in theatre, television, and film, including creating the TV series "River City" and writing for "Doctor Who."
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71392d0388190971bab8906e5e6df completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.