Triple

T7343971
Position Surface form Disambiguated ID Type / Status
Subject Carlo Rubbia E169326 entity
Predicate hasSurname P18 FINISHED
Object Rubbia E169326 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: Rubbia | Statement: [Carlo Rubbia, hasSurname, Rubbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubbia
Context triple: [Carlo Rubbia, hasSurname, Rubbia]
  • A. Rubbia chosen
    Rubbia is the surname of Carlo Rubbia, an Italian physicist and Nobel laureate known for his contributions to particle physics.
  • B. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • C. Guido Segre
    Guido Segre was an Italian Jewish businessman and politician active during the early 20th century, known for his involvement in Italy’s economic and public life.
  • D. Sergio Segrè
    Sergio Segrè is an individual notable enough to be recognized as a prominent bearer of the Italian surname Segrè.
  • E. Nicola Cabibbo
    Nicola Cabibbo was an Italian theoretical physicist best known for introducing the Cabibbo angle, a fundamental parameter in the theory of weak interactions in particle physics.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ed78908190a169f094cb3f62f0 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b24194819096b796de15d66ed2 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.