Triple

T23239451
Position Surface form Disambiguated ID Type / Status
Subject Roman Jackiw E581395 entity
Predicate doctoralAdvisor P167 FINISHED
Object Hans Bethe 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: Hans Bethe | Statement: [Roman Jackiw, doctoralAdvisor, Hans Bethe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Bethe
Context triple: [Roman Jackiw, doctoralAdvisor, Hans Bethe]
  • A. Hans Bethe chosen
    Hans Bethe was a German-American theoretical physicist and Nobel laureate renowned for his work on nuclear reactions in stars and his leadership in nuclear physics research during World War II and beyond.
  • B. Henry Bethe
    Henry Bethe is the son of Nobel Prize–winning physicist Hans Bethe, known primarily in relation to his father's scientific legacy.
  • C. Erich Bethe
    Erich Bethe was a German classical philologist known for his scholarly work on ancient Greek literature and mythology.
  • D. Marius Sophus Bethe
    Marius Sophus Bethe was a German physicist known for his contributions to theoretical physics, particularly in the early development of quantum mechanics and solid-state theory.
  • E. Albrecht Bethe
    Albrecht Bethe was a German physiologist known for his research in neurophysiology and comparative physiology in the early 20th century.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ecc7e481908cac59df5c0deea1 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.