Triple

T9086204
Position Surface form Disambiguated ID Type / Status
Subject David Botstein E217761 entity
Predicate name P16 FINISHED
Object David Botstein E217761 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: David Botstein | Statement: [David Botstein, name, David Botstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Botstein
Context triple: [David Botstein, name, 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. 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."
  • D. Martin Weinberg
    Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
  • E. Marc Bienstock
    Marc Bienstock is a film producer best known for his work on horror and thriller movies, including collaborations with director M. Night Shyamalan.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9654cb3c819089fa8c0ab0841c81 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0774f0d7c8190b071e5b161622355 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:13 p.m.