Triple

T17515770
Position Surface form Disambiguated ID Type / Status
Subject Genetics Society of America Medal E426563 entity
Predicate hasRecipient P108 FINISHED
Object David Botstein 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: David Botstein | Statement: [Genetics Society of America Medal, hasRecipient, David Botstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Botstein
Context triple: [Genetics Society of America Medal, hasRecipient, David Botstein]
  • A. David Botstein chosen
    David Botstein is an influential American geneticist and educator known for pioneering methods in human genetic mapping and for his leadership roles at major research institutions and in industry.
  • B. Paul Feldman
    Paul Feldman is a computer scientist and cryptographer known for his work on digital signatures and other foundational topics in modern cryptography.
  • C. Ben Dorfman
    Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
  • D. Michael Weinberg
    Michael Weinberg is a television and film producer best known for his executive production work on the series "Heartland."
  • E. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.