Triple

T14503943
Position Surface form Disambiguated ID Type / Status
Subject Sherman Weissman E340214 entity
Predicate notableStudent P4838 FINISHED
Object Richard Lifton 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: Richard Lifton | Statement: [Sherman Weissman, notableStudent, Richard Lifton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Lifton
Context triple: [Sherman Weissman, notableStudent, Richard Lifton]
  • A. Richard Lifton chosen
    Richard Lifton is an American geneticist and physician-scientist renowned for his pioneering work on the genetic basis of hypertension and other cardiovascular and kidney diseases.
  • B. Bernard L. Nussbaum
    Bernard L. Nussbaum is an American lawyer and television producer best known for his work as an executive producer on the legal drama series "Body of Proof."
  • C. Irwin Weil
    Irwin Weil is an American scholar and professor emeritus known for his work in Russian and Slavic literature and culture.
  • D. Herbert Edelman
    Herbert Edelman was an American character actor best known for his Emmy-nominated role as Stan Zbornak on the television sitcom "The Golden Girls."
  • E. Robert Weinberg
    Robert Weinberg is a prominent American cancer biologist best known for his pioneering work on oncogenes and tumor suppressor genes, which helped establish the molecular basis of cancer.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
Created at: April 10, 2026, 1:21 a.m.