Triple

T23037132
Position Surface form Disambiguated ID Type / Status
Subject Ian Fry E573631 entity
Predicate name P16 FINISHED
Object Ian Fry 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: Ian Fry | Statement: [Ian Fry, name, Ian Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Fry
Context triple: [Ian Fry, name, Ian Fry]
  • A. Ian Fry chosen
    Ian Fry is an international environmental law expert and diplomat known for his work as a climate change negotiator and as the first UN Special Rapporteur on the promotion and protection of human rights in the context of climate change.
  • B. Joseph Fry
    Joseph Fry was a British merchant and banker best known as the husband of prison reformer Elizabeth Fry and a member of the prominent Fry Quaker family.
  • C. Paul Hanson
    Paul Hanson is a film producer known for his work on independent movies, including the 2018 drama "Ophelia."
  • D. Peter Meldrum
    Peter Meldrum is an American biotechnology executive best known as the co-founder and longtime CEO of Myriad Genetics, a pioneer in genetic testing and personalized medicine.
  • E. Brian Minchin
    Brian Minchin is a British television producer best known for his work as an executive producer on major BBC science fiction and drama series, including Doctor Who and Torchwood.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850fe5348190b42259595d82cff4 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.