Triple

T4379275
Position Surface form Disambiguated ID Type / Status
Subject Harvey Prize E99087 entity
Predicate notableRecipient P108 FINISHED
Object Ada Yonath E75233 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: Ada Yonath | Statement: [Harvey Prize, notableRecipient, Ada Yonath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada Yonath
Context triple: [Harvey Prize, notableRecipient, Ada Yonath]
  • A. Ada Yonath chosen
    Ada Yonath is an Israeli crystallographer and Nobel Prize–winning chemist renowned for her pioneering work on the structure and function of the ribosome.
  • B. Venki Ramakrishnan
    Venki Ramakrishnan is a Nobel Prize–winning structural biologist renowned for his pioneering work on the structure and function of the ribosome.
  • C. Aaron Klug
    Aaron Klug was a Nobel Prize–winning chemist and biophysicist renowned for developing crystallographic electron microscopy and elucidating the structures of complex biological molecules.
  • D. Thomas Steitz
    Thomas Steitz was an American biochemist and Nobel laureate renowned for his pioneering structural studies of the ribosome.
  • E. Dorothy Hodgkin
    Dorothy Hodgkin was a British chemist and Nobel laureate renowned for advancing X-ray crystallography and determining the structures of vital biomolecules such as penicillin, vitamin B12, and insulin.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3524154dc81908532cdf997dcb802 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51c87908190a561513ec64a2d72 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.