Triple

T4963003
Position Surface form Disambiguated ID Type / Status
Subject Max Delbrück Medal E111453 entity
Predicate notableRecipient P108 FINISHED
Object Paul Nurse E70802 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: Paul Nurse | Statement: [Max Delbrück Medal, notableRecipient, Paul Nurse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Nurse
Context triple: [Max Delbrück Medal, notableRecipient, Paul Nurse]
  • A. Paul Nurse chosen
    Paul Nurse is a British geneticist and cell biologist, Nobel Prize laureate, and former president of the Royal Society known for his pioneering work on cell cycle regulation.
  • B. Robin Driscoll
    Robin Driscoll is a British comedy writer and actor best known for co-writing and shaping the character and television series of Mr. Bean.
  • C. Pat Hughes
    Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
  • D. Nel Wright
    Nel Wright is a central character in Toni Morrison's novel "Sula," known for her complex, lifelong friendship with the title character and her struggle with identity, loyalty, and moral judgment.
  • E. Gil Robbins
    Gil Robbins was an American folk musician and actor, best known as a member of the Highwaymen and for his work in the 1960s folk scene.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f3e6148190b99f35734220ffc3 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ea8cc08190af40098ca99364f1 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.