Triple

T3364535
Position Surface form Disambiguated ID Type / Status
Subject Paul Nurse E70802 entity
Predicate employer P7 FINISHED
Object Imperial Cancer Research Fund E43820 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: Imperial Cancer Research Fund | Statement: [Paul Nurse, employer, Imperial Cancer Research Fund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial Cancer Research Fund
Context triple: [Paul Nurse, employer, Imperial Cancer Research Fund]
  • A. Medical Research Council
    The Medical Research Council is a UK government-funded organization that supports and coordinates biomedical and health research to improve human health.
  • B. Cancer Research UK chosen
    Cancer Research UK is the world’s largest independent cancer research charity, funding and conducting research to prevent, diagnose, and treat cancer primarily in the United Kingdom.
  • C. National Institute for Medical Research
    The National Institute for Medical Research was a major British biomedical research institution in London known for pioneering work in fields such as immunology, virology, and molecular biology.
  • D. UCL Cancer Institute
    UCL Cancer Institute is a leading cancer research center in London focused on understanding cancer biology and developing innovative treatments and diagnostics.
  • E. CRUK Cambridge Institute
    CRUK Cambridge Institute is a leading cancer research center at the University of Cambridge that integrates laboratory science with clinical and computational approaches to improve cancer diagnosis, treatment, and prevention.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28467b88190bdf70b851bc8efa9 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3254daf8c8190b2141682503c111e completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.