Triple

T1325877
Position Surface form Disambiguated ID Type / Status
Subject Daniel Kleppner E28325 entity
Predicate name P16 FINISHED
Object Daniel Kleppner E28325 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: Daniel Kleppner | Statement: [Daniel Kleppner, name, Daniel Kleppner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Kleppner
Context triple: [Daniel Kleppner, name, Daniel Kleppner]
  • A. Daniel Kleppner chosen
    Daniel Kleppner is an American physicist renowned for his pioneering work in atomic physics and contributions to the development of Bose–Einstein condensation.
  • B. Robert B. Leighton
    Robert B. Leighton was an American experimental physicist and educator known for his contributions to cosmic-ray and infrared astronomy and for coauthoring the influential Feynman Lectures on Physics.
  • C. John R. Klauder
    John R. Klauder is an American theoretical physicist and mathematician known for his contributions to quantum field theory, coherent states, and functional analysis.
  • D. Edward M. Purcell
    Edward M. Purcell was an American physicist and Nobel laureate best known for his discovery of nuclear magnetic resonance, which laid the foundation for technologies such as MRI.
  • E. Edward Levi
    Edward Levi was an American legal scholar and former president of the University of Chicago who served as U.S. Attorney General, where he is credited with restoring integrity to the Justice Department after the Watergate scandal.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19fd2648190932a85eacb3e7ec4 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:55 p.m.