Triple

T9845046
Position Surface form Disambiguated ID Type / Status
Subject Thomas Südhof E239319 entity
Predicate name P16 FINISHED
Object Thomas Christian Südhof E239319 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: Thomas Christian Südhof | Statement: [Thomas Südhof, name, Thomas Christian Südhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Christian Südhof
Context triple: [Thomas Südhof, name, Thomas Christian Südhof]
  • A. Thomas Südhof chosen
    Thomas Südhof is a German-American neuroscientist and Nobel laureate renowned for his pioneering work on the molecular mechanisms of synaptic transmission.
  • B. Gero Miesenböck
    Gero Miesenböck is an Austrian neuroscientist best known for pioneering optogenetics, a technique that uses light to control genetically modified neurons.
  • C. Timothy Jessell
    Timothy Jessell is an American entertainment lawyer best known as the husband of renowned soprano Renée Fleming.
  • D. Paul Greengard
    Paul Greengard was an American neuroscientist and Nobel Prize laureate renowned for his pioneering research on how neurons communicate via chemical signals in the brain.
  • E. Kenneth A. Jessell
    Kenneth A. Jessell is an American academic administrator and economist who serves as the president of Florida International University.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb35ff7848190a8a717773d8654b9 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5dda4b0819092703270e87bee5a completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.