Triple

T6578528
Position Surface form Disambiguated ID Type / Status
Subject Owen Chamberlain E157231 entity
Predicate doctoralAdvisor P167 FINISHED
Object Enrico Fermi E15393 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: Enrico Fermi | Statement: [Owen Chamberlain, doctoralAdvisor, Enrico Fermi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enrico Fermi
Context triple: [Owen Chamberlain, doctoralAdvisor, Enrico Fermi]
  • A. Enrico Fermi chosen
    Enrico Fermi was an Italian-American physicist renowned for his work on nuclear physics and the development of the first nuclear reactor, which earned him a central role in the advent of the atomic age.
  • B. Nella Fermi
    Nella Fermi is the daughter of renowned Italian-American physicist and Nobel laureate Enrico Fermi.
  • C. Giulio Fermi
    Giulio Fermi is the son of renowned Italian-American physicist and Nobel laureate Enrico Fermi.
  • D. Leonardo Fermi
    Leonardo Fermi is an individual notable primarily for sharing the distinguished Italian surname associated with physicist Enrico Fermi.
  • E. Emilio Segrè
    Emilio Segrè was an Italian-American physicist and Nobel laureate known for co-discovering the antiproton and contributing to the development of nuclear physics and the Manhattan Project.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42945348190882e6ffd05977d36 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:54 p.m.