Triple

T20205706
Position Surface form Disambiguated ID Type / Status
Subject Hartmut Michel E493343 entity
Predicate sharedNobelPrizeWith P1859 FINISHED
Object Robert Huber 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: Robert Huber | Statement: [Hartmut Michel, sharedNobelPrizeWith, Robert Huber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Huber
Context triple: [Hartmut Michel, sharedNobelPrizeWith, Robert Huber]
  • A. Robert Huber chosen
    Robert Huber is a German biochemist and Nobel Prize laureate renowned for his pioneering work in determining the three-dimensional structures of proteins using X-ray crystallography.
  • B. Thomas Steitz
    Thomas Steitz was an American biochemist and Nobel laureate renowned for his pioneering structural studies of the ribosome.
  • C. Nadrian C. Seeman
    Nadrian C. Seeman was an American chemist and crystallographer best known as the founder of DNA nanotechnology, pioneering the use of DNA as a construction material for nanoscale structures.
  • D. Hans Waloschek
    Hans Waloschek was a German architect best known for designing Hamburg’s iconic Heinrich-Hertz-Turm telecommunications tower.
  • E. Hartmut Michel
    Hartmut Michel is a German biochemist and Nobel laureate renowned for elucidating the structure of membrane proteins, particularly the photosynthetic reaction center.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d913c088190b80b251fba5c368f completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.